From Jean-Marc.Bollon at inrialpes.fr Mon Sep 1 16:08:18 2008 From: Jean-Marc.Bollon at inrialpes.fr (Jean-Marc Bollon) Date: Mon Feb 16 16:48:09 2009 Subject: [Neuro-IT] Probabilistic Reasoning and Decision Making in Sensory-Motor Systems - NEW BOOK Message-ID: <05A1988E-A338-4E28-90B1-91BB159C65B8@inrialpes.fr> Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ****************************************************************************** Both living organisms and robotic systems must face the same central difficulty: How to survive being ignorant? How to use an incomplete and uncertain model of their environment to perceive, infer, decide, learn and act efficiently? Indeed, any model of a real phenomenon is incomplete: there are always some hidden variables, not taken into account in the model, that influence the phenomenon. The effect of these hidden variables is that the model and the phenomenon never behave exactly alike. Uncertainty is the direct and unavoidable consequence of incompleteness. A model may not foresee exactly the future observations of a phenomenon as these observations are biased by the hidden variables. It may neither predict exactly the consequences of its decisions. Probability theory, considered as an alternative to logic to model rational reasoning, is the perfect mathematical framework to face this difficult challenge. Learning is used in a first step to transform incompleteness into uncertainty, inference is then used to reason and take decisions based on the probability distributions constructed by learning. This so-called subjectivist approach to probability allows uncertain reasoning as complex and formal as the ones made using logic with exact knowledge. This book presents twelve different implementations of this approach to very different sensory-motor systems either by programming robots or by modeling living systems. Each of these works summarizes a PhD dissertation defended in different European universities. All these works use Bayesian Programming: a mathematical formalism, which defines in simple mathematical terms the way probability, can be used as an alternative to logic. Bayesian Programming also proposes a programming and modeling methodology as, to respect the mathematical formalism, the programmer should follow always the same steps to build his model. Finally, Bayesian Programming is a common language to understand and compare the different models. This language is used all along this book by all the authors and insures the global coherence of these twelve very different examples. More information : http://emotion.inrialpes.fr/BP/spip.php?article18 How to buy : http://www.springer.com/engineering/book/978-3-540-79006-8 http://www.amazon.com/Probabilistic-Reasoning-Decision-Sensory-Motor-Springer/dp/3540790063/ref=sr_1_7ie=UTF8&s=books&qid=1205844732&sr=1-7 -------------- next part -------------- Skipped content of type multipart/related From giacomo at ini.phys.ethz.ch Tue Sep 16 14:29:22 2008 From: giacomo at ini.phys.ethz.ch (Giacomo Indiveri) Date: Mon Feb 16 16:48:09 2009 Subject: [Neuro-IT] Open PhD position at INI (UZH-ETH Zurich) Message-ID: <1221568162.14611.58.camel@zaex> The Institute of Neuroinformatics at UZH-ETH Zurich announces an opening for a PhD position. The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The aim of this project is to develop a real-time active vision system by interfacing neuromorphic VLSI selective attention chips to neuromorphic sensors and robotic actuators. The neuromorphic chips model the properties of biological systems down to the single neuron and synapse dynamics and use a digital asynchronous communication infrastructure. Requirements: Applicants should have * a strong interest in bio-inspired hardware engineering; * the ability to work independently; * good skills in programming C and Matlab; * basic knowledge of neural networks and machine vision; * fundamental notions of microelectronics and/or neuroscience. Contact: Giacomo Indiveri (giacomo@ini.phys.ethz.ch) See http://www.ini.uzh.ch/db/?id=12782&top=12782&showid=18525 for details. -- Giacomo Indiveri UZH - ETH Zurich Institute of Neuroinformatics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland web: http://www.ini.uzh.ch e-mail: giacomo@ethz.ch vox: +41-44-6353024 fax: +41-44-6353053 From bhanupvsr at gmail.com Tue Sep 16 17:16:44 2008 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Mon Feb 16 16:48:09 2009 Subject: [Neuro-IT] IICAI-09 Call for papers Message-ID: <621812f80809160816r7254f47i3da349833c4f7a6c@mail.gmail.com> *Apologies if you receive multiple copies of the email* Dear Colleagues The *4th Indian International Conference on Artificial Intelligence (IICAI-09)* will be held in Tumkur (near Bangalore), India during December 16-18 2009. The conference consists of paper presentations, special workshops, sessions, invited talks and local tours, etc. and it is one of the biggest AI events in the world. We invite draft paper submissions. Please see the website: www.iiconference.org for more details of the conference. Sincerely Bhanu Prasad Conference Chair Contact address: Dr. Bhanu Prasad Assistant Professor, Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Phone: 1-850-412-7350 Fax: 1-850-599-3221 Email: bhanupvsr [at] gmail.com Website: http://www.cis.famu.edu/~prasad PS: Please email to the above address in case you wish to be removed from the future announcements of this conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailknoll.informatik.tu-muenchen.de/pipermail/general/attachme= nts/20080916/9e43d716/attachment.htm From Jean-Marc.Bollon at inrialpes.fr Mon Sep 1 16:08:18 2008 From: Jean-Marc.Bollon at inrialpes.fr (Jean-Marc Bollon) Date: Mon Feb 16 16:55:39 2009 Subject: [Neuro-IT] Probabilistic Reasoning and Decision Making in Sensory-Motor Systems - NEW BOOK Message-ID: <05A1988E-A338-4E28-90B1-91BB159C65B8@inrialpes.fr> Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ****************************************************************************** Both living organisms and robotic systems must face the same central difficulty: How to survive being ignorant? How to use an incomplete and uncertain model of their environment to perceive, infer, decide, learn and act efficiently? Indeed, any model of a real phenomenon is incomplete: there are always some hidden variables, not taken into account in the model, that influence the phenomenon. The effect of these hidden variables is that the model and the phenomenon never behave exactly alike. Uncertainty is the direct and unavoidable consequence of incompleteness. A model may not foresee exactly the future observations of a phenomenon as these observations are biased by the hidden variables. It may neither predict exactly the consequences of its decisions. Probability theory, considered as an alternative to logic to model rational reasoning, is the perfect mathematical framework to face this difficult challenge. Learning is used in a first step to transform incompleteness into uncertainty, inference is then used to reason and take decisions based on the probability distributions constructed by learning. This so-called subjectivist approach to probability allows uncertain reasoning as complex and formal as the ones made using logic with exact knowledge. This book presents twelve different implementations of this approach to very different sensory-motor systems either by programming robots or by modeling living systems. Each of these works summarizes a PhD dissertation defended in different European universities. All these works use Bayesian Programming: a mathematical formalism, which defines in simple mathematical terms the way probability, can be used as an alternative to logic. Bayesian Programming also proposes a programming and modeling methodology as, to respect the mathematical formalism, the programmer should follow always the same steps to build his model. Finally, Bayesian Programming is a common language to understand and compare the different models. This language is used all along this book by all the authors and insures the global coherence of these twelve very different examples. More information : http://emotion.inrialpes.fr/BP/spip.php?article18 How to buy : http://www.springer.com/engineering/book/978-3-540-79006-8 http://www.amazon.com/Probabilistic-Reasoning-Decision-Sensory-Motor-Springer/dp/3540790063/ref=sr_1_7ie=UTF8&s=books&qid=1205844732&sr=1-7 -------------- next part -------------- Skipped content of type multipart/related From giacomo at ini.phys.ethz.ch Tue Sep 16 14:29:22 2008 From: giacomo at ini.phys.ethz.ch (Giacomo Indiveri) Date: Mon Feb 16 16:55:39 2009 Subject: [Neuro-IT] Open PhD position at INI (UZH-ETH Zurich) Message-ID: <1221568162.14611.58.camel@zaex> The Institute of Neuroinformatics at UZH-ETH Zurich announces an opening for a PhD position. The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The aim of this project is to develop a real-time active vision system by interfacing neuromorphic VLSI selective attention chips to neuromorphic sensors and robotic actuators. The neuromorphic chips model the properties of biological systems down to the single neuron and synapse dynamics and use a digital asynchronous communication infrastructure. Requirements: Applicants should have * a strong interest in bio-inspired hardware engineering; * the ability to work independently; * good skills in programming C and Matlab; * basic knowledge of neural networks and machine vision; * fundamental notions of microelectronics and/or neuroscience. Contact: Giacomo Indiveri (giacomo@ini.phys.ethz.ch) See http://www.ini.uzh.ch/db/?id=12782&top=12782&showid=18525 for details. -- Giacomo Indiveri UZH - ETH Zurich Institute of Neuroinformatics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland web: http://www.ini.uzh.ch e-mail: giacomo@ethz.ch vox: +41-44-6353024 fax: +41-44-6353053 From bhanupvsr at gmail.com Tue Sep 16 17:16:44 2008 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Mon Feb 16 16:55:39 2009 Subject: [Neuro-IT] IICAI-09 Call for papers Message-ID: <621812f80809160816r7254f47i3da349833c4f7a6c@mail.gmail.com> *Apologies if you receive multiple copies of the email* Dear Colleagues The *4th Indian International Conference on Artificial Intelligence (IICAI-09)* will be held in Tumkur (near Bangalore), India during December 16-18 2009. The conference consists of paper presentations, special workshops, sessions, invited talks and local tours, etc. and it is one of the biggest AI events in the world. We invite draft paper submissions. Please see the website: www.iiconference.org for more details of the conference. Sincerely Bhanu Prasad Conference Chair Contact address: Dr. Bhanu Prasad Assistant Professor, Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Phone: 1-850-412-7350 Fax: 1-850-599-3221 Email: bhanupvsr [at] gmail.com Website: http://www.cis.famu.edu/~prasad PS: Please email to the above address in case you wish to be removed from the future announcements of this conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailknoll.informatik.tu-muenchen.de/pipermail/general/attachme= nts/20080916/9e43d716/attachment-0001.htm From Jean-Marc.Bollon at inrialpes.fr Mon Sep 1 16:08:18 2008 From: Jean-Marc.Bollon at inrialpes.fr (Jean-Marc Bollon) Date: Mon Feb 16 17:18:27 2009 Subject: [Neuro-IT] Probabilistic Reasoning and Decision Making in Sensory-Motor Systems - NEW BOOK Message-ID: <05A1988E-A338-4E28-90B1-91BB159C65B8@inrialpes.fr> Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ****************************************************************************** Both living organisms and robotic systems must face the same central difficulty: How to survive being ignorant? How to use an incomplete and uncertain model of their environment to perceive, infer, decide, learn and act efficiently? Indeed, any model of a real phenomenon is incomplete: there are always some hidden variables, not taken into account in the model, that influence the phenomenon. The effect of these hidden variables is that the model and the phenomenon never behave exactly alike. Uncertainty is the direct and unavoidable consequence of incompleteness. A model may not foresee exactly the future observations of a phenomenon as these observations are biased by the hidden variables. It may neither predict exactly the consequences of its decisions. Probability theory, considered as an alternative to logic to model rational reasoning, is the perfect mathematical framework to face this difficult challenge. Learning is used in a first step to transform incompleteness into uncertainty, inference is then used to reason and take decisions based on the probability distributions constructed by learning. This so-called subjectivist approach to probability allows uncertain reasoning as complex and formal as the ones made using logic with exact knowledge. This book presents twelve different implementations of this approach to very different sensory-motor systems either by programming robots or by modeling living systems. Each of these works summarizes a PhD dissertation defended in different European universities. All these works use Bayesian Programming: a mathematical formalism, which defines in simple mathematical terms the way probability, can be used as an alternative to logic. Bayesian Programming also proposes a programming and modeling methodology as, to respect the mathematical formalism, the programmer should follow always the same steps to build his model. Finally, Bayesian Programming is a common language to understand and compare the different models. This language is used all along this book by all the authors and insures the global coherence of these twelve very different examples. More information : http://emotion.inrialpes.fr/BP/spip.php?article18 How to buy : http://www.springer.com/engineering/book/978-3-540-79006-8 http://www.amazon.com/Probabilistic-Reasoning-Decision-Sensory-Motor-Springer/dp/3540790063/ref=sr_1_7ie=UTF8&s=books&qid=1205844732&sr=1-7 -------------- next part -------------- Skipped content of type multipart/related From giacomo at ini.phys.ethz.ch Tue Sep 16 14:29:22 2008 From: giacomo at ini.phys.ethz.ch (Giacomo Indiveri) Date: Mon Feb 16 17:18:27 2009 Subject: [Neuro-IT] Open PhD position at INI (UZH-ETH Zurich) Message-ID: <1221568162.14611.58.camel@zaex> The Institute of Neuroinformatics at UZH-ETH Zurich announces an opening for a PhD position. The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The aim of this project is to develop a real-time active vision system by interfacing neuromorphic VLSI selective attention chips to neuromorphic sensors and robotic actuators. The neuromorphic chips model the properties of biological systems down to the single neuron and synapse dynamics and use a digital asynchronous communication infrastructure. Requirements: Applicants should have * a strong interest in bio-inspired hardware engineering; * the ability to work independently; * good skills in programming C and Matlab; * basic knowledge of neural networks and machine vision; * fundamental notions of microelectronics and/or neuroscience. Contact: Giacomo Indiveri (giacomo@ini.phys.ethz.ch) See http://www.ini.uzh.ch/db/?id=12782&top=12782&showid=18525 for details. -- Giacomo Indiveri UZH - ETH Zurich Institute of Neuroinformatics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland web: http://www.ini.uzh.ch e-mail: giacomo@ethz.ch vox: +41-44-6353024 fax: +41-44-6353053 From bhanupvsr at gmail.com Tue Sep 16 17:16:44 2008 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Mon Feb 16 17:18:27 2009 Subject: [Neuro-IT] IICAI-09 Call for papers Message-ID: <621812f80809160816r7254f47i3da349833c4f7a6c@mail.gmail.com> *Apologies if you receive multiple copies of the email* Dear Colleagues The *4th Indian International Conference on Artificial Intelligence (IICAI-09)* will be held in Tumkur (near Bangalore), India during December 16-18 2009. The conference consists of paper presentations, special workshops, sessions, invited talks and local tours, etc. and it is one of the biggest AI events in the world. We invite draft paper submissions. Please see the website: www.iiconference.org for more details of the conference. Sincerely Bhanu Prasad Conference Chair Contact address: Dr. Bhanu Prasad Assistant Professor, Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Phone: 1-850-412-7350 Fax: 1-850-599-3221 Email: bhanupvsr [at] gmail.com Website: http://www.cis.famu.edu/~prasad PS: Please email to the above address in case you wish to be removed from the future announcements of this conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://www.neuro-it.net/pipermail/general/attachments/20080916/9e43d7= 16/attachment-0002.htm From Jean-Marc.Bollon at inrialpes.fr Mon Sep 1 16:08:18 2008 From: Jean-Marc.Bollon at inrialpes.fr (Jean-Marc Bollon) Date: Mon Feb 16 17:20:13 2009 Subject: [Neuro-IT] Probabilistic Reasoning and Decision Making in Sensory-Motor Systems - NEW BOOK Message-ID: <05A1988E-A338-4E28-90B1-91BB159C65B8@inrialpes.fr> Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ****************************************************************************** Both living organisms and robotic systems must face the same central difficulty: How to survive being ignorant? How to use an incomplete and uncertain model of their environment to perceive, infer, decide, learn and act efficiently? Indeed, any model of a real phenomenon is incomplete: there are always some hidden variables, not taken into account in the model, that influence the phenomenon. The effect of these hidden variables is that the model and the phenomenon never behave exactly alike. Uncertainty is the direct and unavoidable consequence of incompleteness. A model may not foresee exactly the future observations of a phenomenon as these observations are biased by the hidden variables. It may neither predict exactly the consequences of its decisions. Probability theory, considered as an alternative to logic to model rational reasoning, is the perfect mathematical framework to face this difficult challenge. Learning is used in a first step to transform incompleteness into uncertainty, inference is then used to reason and take decisions based on the probability distributions constructed by learning. This so-called subjectivist approach to probability allows uncertain reasoning as complex and formal as the ones made using logic with exact knowledge. This book presents twelve different implementations of this approach to very different sensory-motor systems either by programming robots or by modeling living systems. Each of these works summarizes a PhD dissertation defended in different European universities. All these works use Bayesian Programming: a mathematical formalism, which defines in simple mathematical terms the way probability, can be used as an alternative to logic. Bayesian Programming also proposes a programming and modeling methodology as, to respect the mathematical formalism, the programmer should follow always the same steps to build his model. Finally, Bayesian Programming is a common language to understand and compare the different models. This language is used all along this book by all the authors and insures the global coherence of these twelve very different examples. More information : http://emotion.inrialpes.fr/BP/spip.php?article18 How to buy : http://www.springer.com/engineering/book/978-3-540-79006-8 http://www.amazon.com/Probabilistic-Reasoning-Decision-Sensory-Motor-Springer/dp/3540790063/ref=sr_1_7ie=UTF8&s=books&qid=1205844732&sr=1-7 -------------- next part -------------- Skipped content of type multipart/related From giacomo at ini.phys.ethz.ch Tue Sep 16 14:29:22 2008 From: giacomo at ini.phys.ethz.ch (Giacomo Indiveri) Date: Mon Feb 16 17:20:13 2009 Subject: [Neuro-IT] Open PhD position at INI (UZH-ETH Zurich) Message-ID: <1221568162.14611.58.camel@zaex> The Institute of Neuroinformatics at UZH-ETH Zurich announces an opening for a PhD position. The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The aim of this project is to develop a real-time active vision system by interfacing neuromorphic VLSI selective attention chips to neuromorphic sensors and robotic actuators. The neuromorphic chips model the properties of biological systems down to the single neuron and synapse dynamics and use a digital asynchronous communication infrastructure. Requirements: Applicants should have * a strong interest in bio-inspired hardware engineering; * the ability to work independently; * good skills in programming C and Matlab; * basic knowledge of neural networks and machine vision; * fundamental notions of microelectronics and/or neuroscience. Contact: Giacomo Indiveri (giacomo@ini.phys.ethz.ch) See http://www.ini.uzh.ch/db/?id=12782&top=12782&showid=18525 for details. -- Giacomo Indiveri UZH - ETH Zurich Institute of Neuroinformatics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland web: http://www.ini.uzh.ch e-mail: giacomo@ethz.ch vox: +41-44-6353024 fax: +41-44-6353053 From bhanupvsr at gmail.com Tue Sep 16 17:16:44 2008 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Mon Feb 16 17:20:13 2009 Subject: [Neuro-IT] IICAI-09 Call for papers Message-ID: <621812f80809160816r7254f47i3da349833c4f7a6c@mail.gmail.com> *Apologies if you receive multiple copies of the email* Dear Colleagues The *4th Indian International Conference on Artificial Intelligence (IICAI-09)* will be held in Tumkur (near Bangalore), India during December 16-18 2009. The conference consists of paper presentations, special workshops, sessions, invited talks and local tours, etc. and it is one of the biggest AI events in the world. We invite draft paper submissions. Please see the website: www.iiconference.org for more details of the conference. Sincerely Bhanu Prasad Conference Chair Contact address: Dr. Bhanu Prasad Assistant Professor, Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Phone: 1-850-412-7350 Fax: 1-850-599-3221 Email: bhanupvsr [at] gmail.com Website: http://www.cis.famu.edu/~prasad PS: Please email to the above address in case you wish to be removed from the future announcements of this conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailknoll.informatik.tu-muenchen.de/pipermail/general/attachme= nts/20080916/9e43d716/attachment-0003.htm From Jean-Marc.Bollon at inrialpes.fr Mon Sep 1 16:08:18 2008 From: Jean-Marc.Bollon at inrialpes.fr (Jean-Marc Bollon) Date: Mon Feb 16 17:29:54 2009 Subject: [Neuro-IT] Probabilistic Reasoning and Decision Making in Sensory-Motor Systems - NEW BOOK Message-ID: <05A1988E-A338-4E28-90B1-91BB159C65B8@inrialpes.fr> Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ****************************************************************************** Both living organisms and robotic systems must face the same central difficulty: How to survive being ignorant? How to use an incomplete and uncertain model of their environment to perceive, infer, decide, learn and act efficiently? Indeed, any model of a real phenomenon is incomplete: there are always some hidden variables, not taken into account in the model, that influence the phenomenon. The effect of these hidden variables is that the model and the phenomenon never behave exactly alike. Uncertainty is the direct and unavoidable consequence of incompleteness. A model may not foresee exactly the future observations of a phenomenon as these observations are biased by the hidden variables. It may neither predict exactly the consequences of its decisions. Probability theory, considered as an alternative to logic to model rational reasoning, is the perfect mathematical framework to face this difficult challenge. Learning is used in a first step to transform incompleteness into uncertainty, inference is then used to reason and take decisions based on the probability distributions constructed by learning. This so-called subjectivist approach to probability allows uncertain reasoning as complex and formal as the ones made using logic with exact knowledge. This book presents twelve different implementations of this approach to very different sensory-motor systems either by programming robots or by modeling living systems. Each of these works summarizes a PhD dissertation defended in different European universities. All these works use Bayesian Programming: a mathematical formalism, which defines in simple mathematical terms the way probability, can be used as an alternative to logic. Bayesian Programming also proposes a programming and modeling methodology as, to respect the mathematical formalism, the programmer should follow always the same steps to build his model. Finally, Bayesian Programming is a common language to understand and compare the different models. This language is used all along this book by all the authors and insures the global coherence of these twelve very different examples. More information : http://emotion.inrialpes.fr/BP/spip.php?article18 How to buy : http://www.springer.com/engineering/book/978-3-540-79006-8 http://www.amazon.com/Probabilistic-Reasoning-Decision-Sensory-Motor-Springer/dp/3540790063/ref=sr_1_7ie=UTF8&s=books&qid=1205844732&sr=1-7 -------------- next part -------------- Skipped content of type multipart/related From giacomo at ini.phys.ethz.ch Tue Sep 16 14:29:22 2008 From: giacomo at ini.phys.ethz.ch (Giacomo Indiveri) Date: Mon Feb 16 17:29:54 2009 Subject: [Neuro-IT] Open PhD position at INI (UZH-ETH Zurich) Message-ID: <1221568162.14611.58.camel@zaex> The Institute of Neuroinformatics at UZH-ETH Zurich announces an opening for a PhD position. The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The aim of this project is to develop a real-time active vision system by interfacing neuromorphic VLSI selective attention chips to neuromorphic sensors and robotic actuators. The neuromorphic chips model the properties of biological systems down to the single neuron and synapse dynamics and use a digital asynchronous communication infrastructure. Requirements: Applicants should have * a strong interest in bio-inspired hardware engineering; * the ability to work independently; * good skills in programming C and Matlab; * basic knowledge of neural networks and machine vision; * fundamental notions of microelectronics and/or neuroscience. Contact: Giacomo Indiveri (giacomo@ini.phys.ethz.ch) See http://www.ini.uzh.ch/db/?id=12782&top=12782&showid=18525 for details. -- Giacomo Indiveri UZH - ETH Zurich Institute of Neuroinformatics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland web: http://www.ini.uzh.ch e-mail: giacomo@ethz.ch vox: +41-44-6353024 fax: +41-44-6353053 From bhanupvsr at gmail.com Tue Sep 16 17:16:44 2008 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Mon Feb 16 17:29:54 2009 Subject: [Neuro-IT] IICAI-09 Call for papers Message-ID: <621812f80809160816r7254f47i3da349833c4f7a6c@mail.gmail.com> *Apologies if you receive multiple copies of the email* Dear Colleagues The *4th Indian International Conference on Artificial Intelligence (IICAI-09)* will be held in Tumkur (near Bangalore), India during December 16-18 2009. The conference consists of paper presentations, special workshops, sessions, invited talks and local tours, etc. and it is one of the biggest AI events in the world. We invite draft paper submissions. Please see the website: www.iiconference.org for more details of the conference. Sincerely Bhanu Prasad Conference Chair Contact address: Dr. Bhanu Prasad Assistant Professor, Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Phone: 1-850-412-7350 Fax: 1-850-599-3221 Email: bhanupvsr [at] gmail.com Website: http://www.cis.famu.edu/~prasad PS: Please email to the above address in case you wish to be removed from the future announcements of this conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailknoll.informatik.tu-muenchen.de/pipermail/general/attachme= nts/20080916/9e43d716/attachment-0004.htm From Jean-Marc.Bollon at inrialpes.fr Mon Sep 1 16:08:18 2008 From: Jean-Marc.Bollon at inrialpes.fr (Jean-Marc Bollon) Date: Mon Feb 16 17:49:52 2009 Subject: [Neuro-IT] Probabilistic Reasoning and Decision Making in Sensory-Motor Systems - NEW BOOK Message-ID: <05A1988E-A338-4E28-90B1-91BB159C65B8@inrialpes.fr> Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ****************************************************************************** Both living organisms and robotic systems must face the same central difficulty: How to survive being ignorant? How to use an incomplete and uncertain model of their environment to perceive, infer, decide, learn and act efficiently? Indeed, any model of a real phenomenon is incomplete: there are always some hidden variables, not taken into account in the model, that influence the phenomenon. The effect of these hidden variables is that the model and the phenomenon never behave exactly alike. Uncertainty is the direct and unavoidable consequence of incompleteness. A model may not foresee exactly the future observations of a phenomenon as these observations are biased by the hidden variables. It may neither predict exactly the consequences of its decisions. Probability theory, considered as an alternative to logic to model rational reasoning, is the perfect mathematical framework to face this difficult challenge. Learning is used in a first step to transform incompleteness into uncertainty, inference is then used to reason and take decisions based on the probability distributions constructed by learning. This so-called subjectivist approach to probability allows uncertain reasoning as complex and formal as the ones made using logic with exact knowledge. This book presents twelve different implementations of this approach to very different sensory-motor systems either by programming robots or by modeling living systems. Each of these works summarizes a PhD dissertation defended in different European universities. All these works use Bayesian Programming: a mathematical formalism, which defines in simple mathematical terms the way probability, can be used as an alternative to logic. Bayesian Programming also proposes a programming and modeling methodology as, to respect the mathematical formalism, the programmer should follow always the same steps to build his model. Finally, Bayesian Programming is a common language to understand and compare the different models. This language is used all along this book by all the authors and insures the global coherence of these twelve very different examples. More information : http://emotion.inrialpes.fr/BP/spip.php?article18 How to buy : http://www.springer.com/engineering/book/978-3-540-79006-8 http://www.amazon.com/Probabilistic-Reasoning-Decision-Sensory-Motor-Springer/dp/3540790063/ref=sr_1_7ie=UTF8&s=books&qid=1205844732&sr=1-7 -------------- next part -------------- Skipped content of type multipart/related From giacomo at ini.phys.ethz.ch Tue Sep 16 14:29:22 2008 From: giacomo at ini.phys.ethz.ch (Giacomo Indiveri) Date: Mon Feb 16 17:49:52 2009 Subject: [Neuro-IT] Open PhD position at INI (UZH-ETH Zurich) Message-ID: <1221568162.14611.58.camel@zaex> The Institute of Neuroinformatics at UZH-ETH Zurich announces an opening for a PhD position. The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The aim of this project is to develop a real-time active vision system by interfacing neuromorphic VLSI selective attention chips to neuromorphic sensors and robotic actuators. The neuromorphic chips model the properties of biological systems down to the single neuron and synapse dynamics and use a digital asynchronous communication infrastructure. Requirements: Applicants should have * a strong interest in bio-inspired hardware engineering; * the ability to work independently; * good skills in programming C and Matlab; * basic knowledge of neural networks and machine vision; * fundamental notions of microelectronics and/or neuroscience. Contact: Giacomo Indiveri (giacomo@ini.phys.ethz.ch) See http://www.ini.uzh.ch/db/?id=12782&top=12782&showid=18525 for details. -- Giacomo Indiveri UZH - ETH Zurich Institute of Neuroinformatics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland web: http://www.ini.uzh.ch e-mail: giacomo@ethz.ch vox: +41-44-6353024 fax: +41-44-6353053 From bhanupvsr at gmail.com Tue Sep 16 17:16:44 2008 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Mon Feb 16 17:49:52 2009 Subject: [Neuro-IT] IICAI-09 Call for papers Message-ID: <621812f80809160816r7254f47i3da349833c4f7a6c@mail.gmail.com> *Apologies if you receive multiple copies of the email* Dear Colleagues The *4th Indian International Conference on Artificial Intelligence (IICAI-09)* will be held in Tumkur (near Bangalore), India during December 16-18 2009. The conference consists of paper presentations, special workshops, sessions, invited talks and local tours, etc. and it is one of the biggest AI events in the world. We invite draft paper submissions. Please see the website: www.iiconference.org for more details of the conference. Sincerely Bhanu Prasad Conference Chair Contact address: Dr. Bhanu Prasad Assistant Professor, Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Phone: 1-850-412-7350 Fax: 1-850-599-3221 Email: bhanupvsr [at] gmail.com Website: http://www.cis.famu.edu/~prasad PS: Please email to the above address in case you wish to be removed from the future announcements of this conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailknoll.informatik.tu-muenchen.de/pipermail/general/attachme= nts/20080916/9e43d716/attachment-0005.htm From Jean-Marc.Bollon at inrialpes.fr Mon Sep 1 16:08:18 2008 From: Jean-Marc.Bollon at inrialpes.fr (Jean-Marc Bollon) Date: Mon Feb 16 17:54:09 2009 Subject: [Neuro-IT] Probabilistic Reasoning and Decision Making in Sensory-Motor Systems - NEW BOOK Message-ID: <05A1988E-A338-4E28-90B1-91BB159C65B8@inrialpes.fr> Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ****************************************************************************** Both living organisms and robotic systems must face the same central difficulty: How to survive being ignorant? How to use an incomplete and uncertain model of their environment to perceive, infer, decide, learn and act efficiently? Indeed, any model of a real phenomenon is incomplete: there are always some hidden variables, not taken into account in the model, that influence the phenomenon. The effect of these hidden variables is that the model and the phenomenon never behave exactly alike. Uncertainty is the direct and unavoidable consequence of incompleteness. A model may not foresee exactly the future observations of a phenomenon as these observations are biased by the hidden variables. It may neither predict exactly the consequences of its decisions. Probability theory, considered as an alternative to logic to model rational reasoning, is the perfect mathematical framework to face this difficult challenge. Learning is used in a first step to transform incompleteness into uncertainty, inference is then used to reason and take decisions based on the probability distributions constructed by learning. This so-called subjectivist approach to probability allows uncertain reasoning as complex and formal as the ones made using logic with exact knowledge. This book presents twelve different implementations of this approach to very different sensory-motor systems either by programming robots or by modeling living systems. Each of these works summarizes a PhD dissertation defended in different European universities. All these works use Bayesian Programming: a mathematical formalism, which defines in simple mathematical terms the way probability, can be used as an alternative to logic. Bayesian Programming also proposes a programming and modeling methodology as, to respect the mathematical formalism, the programmer should follow always the same steps to build his model. Finally, Bayesian Programming is a common language to understand and compare the different models. This language is used all along this book by all the authors and insures the global coherence of these twelve very different examples. More information : http://emotion.inrialpes.fr/BP/spip.php?article18 How to buy : http://www.springer.com/engineering/book/978-3-540-79006-8 http://www.amazon.com/Probabilistic-Reasoning-Decision-Sensory-Motor-Springer/dp/3540790063/ref=sr_1_7ie=UTF8&s=books&qid=1205844732&sr=1-7 -------------- next part -------------- Skipped content of type multipart/related From giacomo at ini.phys.ethz.ch Tue Sep 16 14:29:22 2008 From: giacomo at ini.phys.ethz.ch (Giacomo Indiveri) Date: Mon Feb 16 17:54:09 2009 Subject: [Neuro-IT] Open PhD position at INI (UZH-ETH Zurich) Message-ID: <1221568162.14611.58.camel@zaex> The Institute of Neuroinformatics at UZH-ETH Zurich announces an opening for a PhD position. The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The aim of this project is to develop a real-time active vision system by interfacing neuromorphic VLSI selective attention chips to neuromorphic sensors and robotic actuators. The neuromorphic chips model the properties of biological systems down to the single neuron and synapse dynamics and use a digital asynchronous communication infrastructure. Requirements: Applicants should have * a strong interest in bio-inspired hardware engineering; * the ability to work independently; * good skills in programming C and Matlab; * basic knowledge of neural networks and machine vision; * fundamental notions of microelectronics and/or neuroscience. Contact: Giacomo Indiveri (giacomo@ini.phys.ethz.ch) See http://www.ini.uzh.ch/db/?id=12782&top=12782&showid=18525 for details. -- Giacomo Indiveri UZH - ETH Zurich Institute of Neuroinformatics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland web: http://www.ini.uzh.ch e-mail: giacomo@ethz.ch vox: +41-44-6353024 fax: +41-44-6353053 From bhanupvsr at gmail.com Tue Sep 16 17:16:44 2008 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Mon Feb 16 17:54:09 2009 Subject: [Neuro-IT] IICAI-09 Call for papers Message-ID: <621812f80809160816r7254f47i3da349833c4f7a6c@mail.gmail.com> *Apologies if you receive multiple copies of the email* Dear Colleagues The *4th Indian International Conference on Artificial Intelligence (IICAI-09)* will be held in Tumkur (near Bangalore), India during December 16-18 2009. The conference consists of paper presentations, special workshops, sessions, invited talks and local tours, etc. and it is one of the biggest AI events in the world. We invite draft paper submissions. Please see the website: www.iiconference.org for more details of the conference. Sincerely Bhanu Prasad Conference Chair Contact address: Dr. Bhanu Prasad Assistant Professor, Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Phone: 1-850-412-7350 Fax: 1-850-599-3221 Email: bhanupvsr [at] gmail.com Website: http://www.cis.famu.edu/~prasad PS: Please email to the above address in case you wish to be removed from the future announcements of this conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailknoll.informatik.tu-muenchen.de/pipermail/general/attachme= nts/20080916/9e43d716/attachment-0006.htm From Jean-Marc.Bollon at inrialpes.fr Mon Sep 1 16:08:18 2008 From: Jean-Marc.Bollon at inrialpes.fr (Jean-Marc Bollon) Date: Mon Feb 16 19:17:58 2009 Subject: [Neuro-IT] Probabilistic Reasoning and Decision Making in Sensory-Motor Systems - NEW BOOK Message-ID: <05A1988E-A338-4E28-90B1-91BB159C65B8@inrialpes.fr> Probabilistic Reasoning and Decision Making in Sensory-Motor Systems ****************************************************************************** Both living organisms and robotic systems must face the same central difficulty: How to survive being ignorant? How to use an incomplete and uncertain model of their environment to perceive, infer, decide, learn and act efficiently? Indeed, any model of a real phenomenon is incomplete: there are always some hidden variables, not taken into account in the model, that influence the phenomenon. The effect of these hidden variables is that the model and the phenomenon never behave exactly alike. Uncertainty is the direct and unavoidable consequence of incompleteness. A model may not foresee exactly the future observations of a phenomenon as these observations are biased by the hidden variables. It may neither predict exactly the consequences of its decisions. Probability theory, considered as an alternative to logic to model rational reasoning, is the perfect mathematical framework to face this difficult challenge. Learning is used in a first step to transform incompleteness into uncertainty, inference is then used to reason and take decisions based on the probability distributions constructed by learning. This so-called subjectivist approach to probability allows uncertain reasoning as complex and formal as the ones made using logic with exact knowledge. This book presents twelve different implementations of this approach to very different sensory-motor systems either by programming robots or by modeling living systems. Each of these works summarizes a PhD dissertation defended in different European universities. All these works use Bayesian Programming: a mathematical formalism, which defines in simple mathematical terms the way probability, can be used as an alternative to logic. Bayesian Programming also proposes a programming and modeling methodology as, to respect the mathematical formalism, the programmer should follow always the same steps to build his model. Finally, Bayesian Programming is a common language to understand and compare the different models. This language is used all along this book by all the authors and insures the global coherence of these twelve very different examples. More information : http://emotion.inrialpes.fr/BP/spip.php?article18 How to buy : http://www.springer.com/engineering/book/978-3-540-79006-8 http://www.amazon.com/Probabilistic-Reasoning-Decision-Sensory-Motor-Springer/dp/3540790063/ref=sr_1_7ie=UTF8&s=books&qid=1205844732&sr=1-7 -------------- next part -------------- Skipped content of type multipart/related From giacomo at ini.phys.ethz.ch Tue Sep 16 14:29:22 2008 From: giacomo at ini.phys.ethz.ch (Giacomo Indiveri) Date: Mon Feb 16 19:17:58 2009 Subject: [Neuro-IT] Open PhD position at INI (UZH-ETH Zurich) Message-ID: <1221568162.14611.58.camel@zaex> The Institute of Neuroinformatics at UZH-ETH Zurich announces an opening for a PhD position. The mission of the Institute is to discover the key principles by which brains work and to implement these in artificial systems that interact intelligently with the real world. The aim of this project is to develop a real-time active vision system by interfacing neuromorphic VLSI selective attention chips to neuromorphic sensors and robotic actuators. The neuromorphic chips model the properties of biological systems down to the single neuron and synapse dynamics and use a digital asynchronous communication infrastructure. Requirements: Applicants should have * a strong interest in bio-inspired hardware engineering; * the ability to work independently; * good skills in programming C and Matlab; * basic knowledge of neural networks and machine vision; * fundamental notions of microelectronics and/or neuroscience. Contact: Giacomo Indiveri (giacomo@ini.phys.ethz.ch) See http://www.ini.uzh.ch/db/?id=12782&top=12782&showid=18525 for details. -- Giacomo Indiveri UZH - ETH Zurich Institute of Neuroinformatics Winterthurerstrasse 190, CH-8057 Zurich, Switzerland web: http://www.ini.uzh.ch e-mail: giacomo@ethz.ch vox: +41-44-6353024 fax: +41-44-6353053 From bhanupvsr at gmail.com Tue Sep 16 17:16:44 2008 From: bhanupvsr at gmail.com (Bhanu Prasad) Date: Mon Feb 16 19:17:58 2009 Subject: [Neuro-IT] IICAI-09 Call for papers Message-ID: <621812f80809160816r7254f47i3da349833c4f7a6c@mail.gmail.com> *Apologies if you receive multiple copies of the email* Dear Colleagues The *4th Indian International Conference on Artificial Intelligence (IICAI-09)* will be held in Tumkur (near Bangalore), India during December 16-18 2009. The conference consists of paper presentations, special workshops, sessions, invited talks and local tours, etc. and it is one of the biggest AI events in the world. We invite draft paper submissions. Please see the website: www.iiconference.org for more details of the conference. Sincerely Bhanu Prasad Conference Chair Contact address: Dr. Bhanu Prasad Assistant Professor, Department of Computer and Information Sciences Florida A&M University, Tallahassee, FL 32307, USA Phone: 1-850-412-7350 Fax: 1-850-599-3221 Email: bhanupvsr [at] gmail.com Website: http://www.cis.famu.edu/~prasad PS: Please email to the above address in case you wish to be removed from the future announcements of this conference. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://www.neuro-it.net/pipermail/general/attachments/20080916/9e43d7= 16/attachment-0007.htm