A PhD position is available in the research group of Aldo Faisal at Imperial College.

Group page: http://www3.imperial.ac.uk/people/a.faisal

Dr Faisal is a Lecturer in Neurotechnology jointly at the Dept. of Bioengineering and the Dept. of Computing at Imperial College London. The Faisal Lab combines cross-disciplinary computational and experimental approaches to investigate how the brain and its neural circuits make decisions, learns and controls movements.

Note from the site:

Open PhD position in Computational Neuroscience of Sensorimotor learning (Theory + Experiments).

We are currently looking for an exceptional and intellectually curious PhD candidate for a position we have available.  The ideal candidate would have an interest in combining experiments with theory in their research. Prior knowledge of neuroscience is not essential, but a desire to learn is. The academic background can range from biology to physics. Programming skills are welcome, mathematical aptitude essential. 
Interested? Contact us via email with a CV and a brief statement of your interest to conduct research in this area of neuroscience: aldo X faisal Y imperial X ac X uk  , where X = “dot” and Y= “at”.

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Tutorial on AI and Machine Consciousness at AAAI Conference by Antonio Chella.

July 11 2010. Atlanta. Twenty-Fourth Conference on Artificial Intelligence (AAAI-10).

Tutorial SA-1. AI and Machine Consciousness

By Antonio Chella.

Machine consciousness is an emerging field that addresses the problems of designing and implementing computational models of consciousness in an agent. The target of machine consciousness research is twofold: the possibility of building phenomenally conscious machines (that is, facing the hard problem of qualia) and the analysis of the active role of consciousness in controlling and planning the behaviour of an agent.

Machine consciousness is placed at the crossing between technical disciplines (AI, robotics, computer science and engineering), theoretical disciplines (philosophy of mind, linguistics, logic), and empirical disciplines (psychology and neuroscience). It focuses on attempts to apply the methods of AI, robotics and computer science to understand consciousness and to examine the possible role of consciousness in AI systems. On the one hand there is the hope that facing the problem of consciousness would be a decisive move to design better AI systems; on the other hand the implementations of AI systems could be helpful for understanding natural consciousness.

The tutorial will present the current state of research in machine consciousness and it will discuss the theoretical foundations and the experimental results of the field and their importance for the AI community.

The tutorial will be divided in four parts: i) theoretical and philosophical issues of consciousness, ii) models of machine consciousness, iii) case studies and implemented systems, and iv) discussions and perspectives of machine consciousness.

Prerequisite knowledge: No specific prior knowledge is required.

Antonio Chella is a professor of robotics in the Computer Engineering Department of the University of Palermo, Italy, where he leads the robotics laboratory. He is an associate editor of the Artificial Intelligence Journal. In 2007 he organized and cochaired the AAAI Fall Symposium on AI and Consciousness. He is cofounder and editor-in-chief of the International Journal of Machine Consciousness started in 2009. His recent research interests address the implementation of machine consciousness models in autonomous robots.

More information: AAAI-10 Tutorial Forum page.

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Postdoctoral opening in computational neuroscience/mathematical biology

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Pentti Haikonen Doctoral Thesis - Part III (Simulations and Conclusions) available for download

Pentti Haikonen is one of the most salient researchers on Machine Consciousness. His PhD Thesis entitled:

"An Artificial Cognitive Neural System Based on a Novel Neuron Structure and a Reentrant Modular Architecture with Implications to Machine Consciousness"

is one of the first doctoral dissertations in the field of Machine Consciousness. In this thesis, Haikonen introduces the Haikonen Associative Neurons and his Cognitive Architecture.

Part III of Haikonen's thesis is available here:

Haikonen, Pentti O. A., An Artificial Cognitive Neural System Based on a Novel Neuron Structure and a Reentrant Modular Architecture with Implications to Machine Consciousness. Helsinki University of Technology, Applied Electronics Laboratory, Series B: Research Reports, Espoo 1999, 156 pp. ISBN 951-22-4730-5, ISSN 1456-1174.

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