Computational studies of consciousness.
Igor Aleksander, Helen Morton
Progress in Brain Research 2008 DOI: 10.1016/s0079-6123(07)68007-8 (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 | Proposes that consciousness can be broken into five axioms—presence, imagination, attention, volition, and emotions—and that an abstract 'kernel architecture' can serve as a starting point for computational models that address puzzling aspects such as animal consciousness, dreaming, and illusions. |
Abstract
In this chapter we present a computational architecture intended to add clarity to the concept of consciousness. We briefly review some of the motivations of work done in this area in various institutes around the world and looks closely at our own work which specifically includes phenomenology, the sense of a self in a perceptual world. This breaks consciousness into five axioms: presence, imagination, attention, volition and emotions. It develops plausible mechanisms of each and how they interact to give a single sensation. An abstract architecture, the kernel architecture, is introduced as a starting point for building computational models. It is shown that through this architecture it is possible to discuss puzzling aspects of consciousness, for example are animals conscious? What happens when we dream? What goes on when we experience an illusion? This paper is intended to elucidate and update some concepts introduced in Aleksander (2005).
Citations in the library
Cited by 6
- Towards an integrative theory of consciousness: part 2 (an anthology of various other models). Mens Sana Monographs 2013
- Wstęp do uniwersalistycznej ontologii świadomości Rocznik Kognitywistyczny 2017
- Qualia Skepticism in Schooling and Deontic Safeguards for Consciousness-Like AI in Education Advances in Computational Intelligence and Robotics December 12, 2025
- The effects of implementing phenomenology in a deep neural network. Heliyon June 8, 2021
- Can Computers Become Conscious and Overcome Humans? Frontiers in Robotics and AI 2018
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