David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Journal of Consciousness Studies 10 (4-5):133-172 (2003)
Replication or even modelling of consciousness in machines requires some clariﬁcations and reﬁnements of our concept of consciousness. Design of, construction of, and interaction with artiﬁcial systems can itself assist in this conceptual development. We start with the tentative hypothesis that although the word “consciousness” has no well-deﬁned meaning, it is used to refer to aspects of human and animal informationprocessing. We then argue that we can enhance our understanding of what these aspects might be by designing and building virtual-machine architectures capturing various features of consciousness. This activity may in turn nurture the development of our concepts of consciousness, showing how an analysis based on information-processing virtual machines answers old philosophical puzzles as well enriching empirical theories. This process of developing and testing ideas by developing and testing designs leads to gradual reﬁnement of many of our pre-theoretical concepts of mind, showing how they can be construed as implicitly “architecture-based” concepts. Understanding how humanlike robots with appropriate architectures are likely to feel puzzled about qualia may help us resolve those puzzles. The concept of “qualia” turns out to be an “architecture-based” concept, while individual qualia concepts are “architecture-driven”
|Keywords||Architecture Consciousness Machine Science Virtual|
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Luciano Floridi (2011). The Informational Nature of Personal Identity. Minds and Machines 21 (4):549-566.
Janusz A. Starzyk & Dilip K. Prasad (2011). A Computational Model of Machine Consciousness. International Journal of Machine Consciousness 3 (02):255-281.
Giuseppe Trautteur (2010). Consciousness and Virtuality. International Journal of Machine Consciousness 2 (01):69-73.
Andrea Stocco, Christian Lebiere & Alexei V. Samsonovich (2010). The B-I-C-a of Biologically Inspired Cognitive Architectures. International Journal of Machine Consciousness 2 (02):171-192.
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