In Situ Representations and Access Consciousness in Neural Blackboard or Workspace Architectures
Frank van der Velde
Frontiers in Robotics and AI April 3, 2018 DOI: 10.3389/frobt.2018.00032 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Citations | 8 |
| Key points | Argues that access consciousness can be explained through global workspace architectures and content-addressable 'in situ' representations, with control emerging from the representations themselves rather than an external controller. Contends that although this process relies on brain features, there are no principled reasons it could not be implemented in robots. |
Abstract
Phenomenal theories of consciousness assert that this is due to specific neural correlates in the brain, which can be separated from all cognitive functions we can perform. If so, the search for robot consciousness seems to be doomed. In contrast, theories of functional or access consciousness assert that consciousness can be studied only with forms of cognitive access, given by cognitive processes. Consequently, consciousness and cognitive access cannot be fully dissociated. Here, the global features of cognitive access of consciousness are discussed based on neural blackboard or (global) workspace architectures, combined with content addressable or `in situ' conceptual representations as found in the brain. These representations allow continuous cognitive access in the form of a process of covert or overt queries and answers that could underlie forms of access consciousness. A crucial aspect of this process is that it is controlled by the activity of the in situ representations themselves and the relations they can initiate, not by an external controller like a CPU that runs a particular program. Although the resulting process of access consciousness is indeed based on specific features of the brain, there are no principled reasons to assume that this process cannot be achieved in robots either.
Citations in the library
Cited by 3
- The Prospects of Artificial Consciousness: Ethical Dimensions and Concerns. AJOB Neuroscience 2023
- BASIC METHODS AND APPROACHES TO ARTIFICIAL CONSCIOUSNESS MODELING News of the Kabardin-Balkar Scientific Center of RAS 2022
- Creativity, information, and consciousness: The information dynamics of thinking. Physics of Life Reviews December 1, 2020
Cites 6
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- Consciousness, accessibility, and the mesh between psychology and neuroscience. Behavioral and Brain Sciences December 1, 2007
- Consciousness cannot be separated from function. Trends in Cognitive Sciences August 1, 2011
- How conscious experience and working memory interact. Trends in Cognitive Sciences April 1, 2003
- A framework for consciousness Nature Neuroscience February 1, 2003
and 1 more in the library