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MC-Papers: Weekly updated compilation of Machine Consciousness Papers |
ConsScale: A Scale for Measuring the Development of Consciousness in Artificial Agents (www.ConsScale.com) |
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Written by Raúl Arrabales
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Monday, 07 June 2010 |
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 Third Issue of the International Journal of Machine Consciousness Available
The third issue of the IJMC (volume 2, issue 1, June 2010) is now available online! This issue is centered around the target paper "An Alternative to Working on Machine Consciousness" written by Aaron Sloman, and commented by leading Machine Consciousness researchers (see Table of Contents below).
Sloman's paper abstract:
This paper extends three decades of work arguing that researchers who discuss consciousness should not restrict themselves only to (adult) human minds, but should study (and attempt to model) many kinds of minds, natural and artificial, thereby contributing to our understanding of the space containing all of them. We need to study what they do or can do, how they can do it, and how the natural ones can be emulated in synthetic minds. That requires: (a) understanding sets of requirements that are met by different sorts of minds, i.e. the niches that they occupy, (b) understanding the space of possible designs, and (c) understanding complex and varied relationships between requirements and designs. Attempts to model or explain any particular phenomenon, such as vision, emotion, learning, language use, or consciousness lead to muddle and confusion unless they are placed in that broader context. A methodology for making progress is summarised and a novel requirement proposed for a theory of how human minds work: the theory should support a single generic design for a learning, developing system that, in addition to meeting familiar requirements, should be capable of developing different and opposed philosophical viewpoints about consciousness, and the so-called hard problem. In other words, we need a common explanation for the mental machinations of mysterians, materialists, functionalists, identity theorists, and those who regard all such theories as attempting to answer incoherent questions. No designs proposed so far come close.
Additionally, the background paper 'Phenomenal and Access Consciousness and the "Hard" Problem: A View from the Designer Stance' by Sloman is freely available online.  Be first to comment this article |  Add as favourites (153) |  Quote this article on your site | Views: 1206
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Last Updated ( Wednesday, 09 June 2010 )
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Read more...
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Written by Raúl Arrabales
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Monday, 24 May 2010 |
The Sackler Centre for Consciousness Science (SCCS) at the University of Sussex has been recently founded
SCCS web site: http://www.sussex.ac.uk/sackler/index
Founded in 2010 with a generous donation from the Mortimer and Theresa Sackler Foundation, the Sackler Centre for Consciousness Science (SCCS) represents a new and multidisciplinary approach to clinical intervention and diagnosis, based on the science of the complex brain networks that give rise to consciousness.
How do conscious experience, subjectivity and free will arise from their biological substrates? Even in the late 20th century, consciousness was considered by many to be outside the reach or remit of science. Now, powerful new combinations of functional brain imaging, computational modelling and basic neurobiology bring real hope that human ingenuity can resolve this central mystery of life. Practically, an enhanced understanding of consciousness will transform clinical approaches to a wide range of neurological and psychiatric disorders, from coma to insomnia, from depression and schizophrenia to autism and dementia. Be first to comment this article | Add as favourites (243) | Quote this article on your site | Views: 1294 |
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Last Updated ( Monday, 24 May 2010 )
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Written by Raúl Arrabales
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Thursday, 22 April 2010 |
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. Be first to comment this article | Add as favourites (267) | Quote this article on your site | Views: 1590 |
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Last Updated ( Thursday, 22 April 2010 )
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