Machine Consciousness 2011: Self, Integration and Explanation

MC2011
Machine Consciousness 2011: Self, Integration and Explanation
Call for Papers

Abstract submission deadline: December 31st, 2010.

Extended Abstract submission deadline: **January 9th, 2011**

Submissions are invited for presentation at MC2011, a two-day symposium to be held in conjunction with Artificial Intelligence and the Simulation of Behaviour 2011 (AISB 2011), April 4-7 2011, University of York, UK.

Machine Consciousness (MC) concerns itself with the creation of artefacts which have, or model, mental characteristics typically associated with consciousness such as (self-) awareness, emotion, affect, phenomenal states, imagination, etc.

Specific Foci:
We encourage submissions falling under one of more of these topics:
• MC and Self modelling
• MC and Information integration
• The explanatory power of MC models
• MC and Neuroscience
• MC and Functional versus phenomenal consciousness
• MC Ethics

Click the READ MORE button below to see the complete Call For Papers.

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The Awakening of Conscious Bots

Inside the Mind of the 2K BotPrize 2010 Winner

AIGameDev.com features an in-depth article about CC-Bot2, the winning entry (Conscious-Robots team) of this year’s 2K BotPrize competition at CIG.

Related links:

Related information:

  •  “Killer Bots Are Getting Human”. John Bohannon. (01 Oct. 2010). Science. Vol 330. no. 6000. pp. 30-31. Science Article.
  •  “Unreal Tournament 2010: Narrowing the Gap between Human and Bot”. Surfdaddy Orca. (10 Sept. 2010). h+ magazine Article.

Toward a Science of Consciousness 2011

TSC 2011: The 18th Toward a Science of Consciousness Conference
Brain, Mind and Reality
May 2-8, 2011
Stockholm University

Toward a Science of Consciousness is an interdisciplinary conference emphasizing broad and rigorous approaches to the study of conscious awareness. Topical areas include neuroscience, philosophy, psychology, biology, quantum physics, meditation and altered states, machine consciousness, culture and experiential phenomenology. Held annually since 1994, the conference is organized by the Center for Consciousness Studies at the University of Arizona, and alternates yearly between Tucson, Arizona and various locations around the world. Toward a Science of Consciousness 2011 will be held at Stockholm University, Aula Magna Hall, Stockholm, Sweden, May 2-8, 2011.

See the Call for Abstracts.

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Fourth Issue of the IJMC

The Fourth Issue (Vol. 2 No. 2. December 2010) of the International Journal of Machine Consciousness is now online

This is a special issue devoted to BICA (Brain Inspired Cognitive Architectures) and MC (Machine Consciousness) with selected papers from BICA 2008, BICA 2009, and BICA 2010 (Guest Editor: Alexei V. Samsonovich). See http://bicasymposium.com/.

As usual, these papers have been indexed in the MC Papers database. See below the table of contents.

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IJMC – Special Issue on Machine Consciousness: Self, Integration and Explanation

International Journal of Machine Consciousness
Special Issue on Machine Consciousness: Self, Integration and Explanation
Selected Papers from the 2011 AISB Workshop

As usual, these papers have been indexed in the MC Papers database. See below the table of contents.

313

no access

GUEST EDITORS’ INTRODUCTION

DOI: 10.1142/S1793843012020027

Abstract | PDF (151 KB) | PDF Plus (151 KB)

325

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SELF-SYSTEM IN A MODEL OF COGNITION

DOI: 10.1142/S1793843012400185

Abstract | PDF (268 KB) | PDF Plus (261 KB)

335

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A COGNITIVE ARCHITECTURE WITH INCREMENTAL LEVELS OF MACHINE CONSCIOUSNESS INSPIRED BY COGNITIVE NEUROSCIENCE

DOI: 10.1142/S1793843012400197

Abstract | PDF (998 KB) | PDF Plus (433 KB)

353

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SYNTHETIC PHENOMENOLOGY AND HIGH-DIMENSIONAL BUFFER HYPOTHESIS

DOI: 10.1142/S1793843012400203

Abstract | PDF (588 KB) | PDF Plus (343 KB)

367

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INNER SPEECH GENERATION IN A VIDEO GAME NON-PLAYER CHARACTER: FROM EXPLANATION TO SELF?

DOI: 10.1142/S1793843012400215

Abstract | PDF (478 KB) | PDF Plus (331 KB)

383

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CONSCIOUSNESS, ACTION SELECTION, MEANING AND PHENOMENIC ANTICIPATION

DOI: 10.1142/S1793843012400227

Abstract | PDF (1720 KB) | PDF Plus (738 KB)

401

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THE COMPUTATIONAL STANCE IS UNFIT FOR CONSCIOUSNESS

DOI: 10.1142/S1793843012400239

Abstract | PDF (596 KB) | PDF Plus (338 KB)

421

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EMPIRICALLY GROUNDED CLAIMS ABOUT CONSCIOUSNESS IN COMPUTERS

DOI: 10.1142/S1793843012400240

Abstract | PDF (2172 KB) | PDF Plus (343 KB)

439

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WORLD-RELATED INTEGRATED INFORMATION: ENACTIVIST AND PHENOMENAL PERSPECTIVES

DOI: 10.1142/S1793843012400252

Abstract | PDF (207 KB) | PDF Plus (219 KB)

457

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CAN FUNCTIONAL AND PHENOMENAL CONSCIOUSNESS BE DIVIDED?

DOI: 10.1142/S1793843012400264

Abstract | PDF (505 KB) | PDF Plus (214 KB)

471

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A ROLE FOR CONSCIOUSNESS IN ACTION SELECTION

DOI: 10.1142/S1793843012400276

Abstract | PDF (161 KB) | PDF Plus (162 KB)

483

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SUPER-INTELLIGENCE AND (SUPER-)CONSCIOUSNESS

DOI: 10.1142/S1793843012400288

Abstract | PDF (215 KB) | PDF Plus (216 KB)

503

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VIRTUALIST REPRESENTATION

DOI: 10.1142/S179384301240029X

Abstract | PDF (208 KB) | PDF Plus (209 KB)

523

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REMEMBERING JOHN TAYLOR (1931–2012)

DOI: 10.1142/S1793843012400306

Abstract | PDF (45 KB) | PDF Plus (46 KB)

525

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AUTHOR INDEX VOLUME 4 (2012)
DOI: 10.1142/S1793843012990016

Abstract | PDF (35 KB) | PDF Plus (35 KB)

Free Access to IJMC Sloman Papers

Now the three invited papers by Aaron Sloman that were recently published in thethird issue of the International Journal of Machine Consciousness (IJMC) are freely available:
Vol. 2 No. 1 (June 2010) pp. 1-18
AN ALTERNATIVE TO WORKING ON MACHINE CONSCIOUSNESS
AARON SLOMAN
DOI: 10.1142/S1793843010000400

Vol. 2 No. 1 (June 2010) pp. 75-116
MACHINE CONSCIOUSNESS: RESPONSE TO COMMENTARIES
AARON SLOMAN
DOI: 10.1142/S1793843010000412

Vol. 2 No. 1 (June 2010) pp. 117-169
PHENOMENAL AND ACCESS CONSCIOUSNESS AND THE “HARD” PROBLEM: A VIEW FROM THE DESIGNER STANCE
AARON SLOMAN
DOI: 10.1142/S1793843010000424

 

Third Issue of the IJMC

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 byAaron 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.

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Sackler Centre for Consciousness Science

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.

 

AAAI Tutorial on Machine Consciousness

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.

{mosimage} 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.

Haikonen’s Doctoral Thesis – Part III

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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