PHENOMENOLOGY IN COMPUTATIONAL MODELS OF CONSCIOUSNESS
Igor Aleksander, Helen Morton
International Journal of Pattern Recognition and Artificial Intelligence September 1, 2006 DOI: 10.1142/s021800140600496x (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Topics | Philosophy of mind |
| Key points | Argues that phenomenology needs explicit mechanisms for computational models of consciousness, and proposes a kernel architecture and digital implementation that works on visual illusions, including the ambiguous Necker cube. |
Abstract
In this paper we argue that phenomenology needs to be supported by explicit mechanisms if one is to have computational models of consciousness. Computational work in this area is reviewed and a set of axioms that help to decompose being conscious into manageable concepts is evoked. This leads to a kernel architecture and a digital implementation which is shown to work in examples of visual illusions that are revealing of how the brain supports phenomenology. This model is used to address the unstable phenomenology related to observation of the ambiguous Necker cube.
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