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.
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
Vol. 2 No. 1 (June 2010) pp. 75-116 MACHINE CONSCIOUSNESS: RESPONSE TO COMMENTARIES AARON SLOMAN
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
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.
First Issue of the International Journal of Machine Consciousness Available
The first issue of the International Journal of Machine Consciousness is available online (Vol. 1. Issue 1. June 2009)! This new journal, exclusively dedicated to the field of Machine Consciousness (aka Artificial Consciousness), has started its publication with an outstanding collection of papers from the leading MC researchers in the world.
This very first issue of IJMC includes papers from Igor Aleksander, John G. Taylor, Bernard J. Baars, Stan Franklin, Antonio Chella, Riccardo Manzotti, Ron Chrisley, Anil Seth, Carlos Hernández, Ignacio López, Ricardo Sanz, Sidney D’Mello, Uma Ramamurthy, Alexei V. Samsonovich, Kenneth A. De Jong, Anastasia Kitsantas, Eva Hudlicka, and Piotr Boltuc. See below for the complete table of contents.
International Journal of Machine Consciousness (IJMC)
Editor-in-Chief Antonio Chella
The journal examines the theoretical foundations of conscious machines and analyzes current approaches to machine consciousness. It offers unity and visibility to a wide spread of research, which is now scattered throughout many diverse and often unrelated journals. The journal also allows a publication focus where scholars could present, compare and evaluate their work on machine consciousness both from the theoretical and technical side. Since the topic of machine consciousness is still highly controversial, each issue will endorse a blend of papers covering provocative theories as well as testable models. Machine consciousness is pursued for:
Implementing and designing machines resembling human beings (cognitive robotics)
Understanding the nature of consciousness (cognitive science)
Implementing and designing more efficient control systems
Machine consciousness is a field placed at the crossing between technical disciplines (AI, Robotics, Computer Science and Engineering), theoretical ones (Cognitive Science, Philosophy of Mind, Linguistics, Logic), and empirical ones (Psychology and Neuroscience). However, machine consciousness focuses mostly on attempts to use robots and informational machines as vehicles that advance various ways of understanding consciousness and examine the possible role of consciousness in the further development of such robots and other informational machines.