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Consciousness

In Marvin Lee Minsky (ed.), The Emotion Machine: Commensense Thinking, Artificial Intelligence, and the Future of the Human Mind. Simon & Schuster (2006)

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  1. Steps Toward an Integrative Clinical Systems Psychology.Felix Tretter & Henriette Löffler-Stastka - 2018 - Frontiers in Psychology 9:394851.
    Clinical fields of the “sciences of the mind” (psychotherapy, psychiatry, etc.) lack integrative conceptual frameworks that have explanatory power. Mainly descriptive-classificatory taxonomies like DSM dominate the field. New taxonomies such as Research Domain Criteria (RDoC) aim to collect scientific knowledge regarding “systems” for “processes” of the brain. These terms have a supradisciplinary” meaning if they are considered in context of Systems Science. This field emerges as a platform of theories like general systems theory, catastrophe theory, synergetics, chaos theory, etc. It (...)
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  • Genuinely collective emotions.Bryce Huebner - 2011 - European Journal for Philosophy of Science 1 (1):89-118.
    It is received wisdom in philosophy and the cognitive sciences that individuals can be in emotional states but groups cannot. But why should we accept this view? In this paper, I argue that there is substantial philosophical and empirical support for the existence of collective emotions. Thus, while there is good reason to be skeptical about many ascriptions of collective emotion, I argue that some groups exhibit the computational complexity and informational integration required for being in genuinely emotional states.
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  • An alternative to working on machine consciousness.Aaron Sloman - 2010 - International Journal of Machine Consciousness 2 (1):1-18.
    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 (...)
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  • Phenomenal and access consciousness and the "hard" problem: A view from the designer stance.Aaron Sloman - 2010 - International Journal of Machine Consciousness 2 (1):117-169.
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  • Why some machines may need qualia and how they can have them (Including a demanding new Turing test for robot philosophers.).Aaron Sloman - unknown
    Many debates about consciousness appear to be endless, in part because of conceptual confusions preventing clarity as to what the issues are and what does or does not count as evidence. This makes it hard to decide what should go into a machine if it is to be described as 'conscious'. Thus, triumphant demonstrations by some AI developers may be regarded by others as proving nothing of interest because the system does not satisfy *their* definitions or requirements specifications.
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  • Embodying emotions: What emotion theorists can learn from simulations of emotions. [REVIEW]Matthew P. Spackman & David Miller - 2008 - Minds and Machines 18 (3):357-372.
    Cognitively-oriented theories have dominated the recent history of the study of emotion. However, critics of this perspective suggest the role of the body in the experience of emotion is largely ignored by cognitive theorists. As an alternative to the cognitive perspective, critics are increasingly pointing to William James’ theory, which emphasized somatic aspects of emotions. This emerging emphasis on the embodiment of emotions is shared by those in the field of AI attempting to model human emotions. Behavior-based agents in AI (...)
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