Global Workspace Theory, Shanahan, and Lida

Franklin, Stan

doi:10.1142/s1793843011000728

Cited by 3 publications

(2 citation statements)

References 21 publications

(14 reference statements)

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“…There is a central global working memory through which these processes communicate with each other. According to Global workspace theory the data received by sensory organs is broadcasted to all parts of the brain for simple and flexible processing (Franklin, 2009;Robin, Schmidt, & Shamantics, 2007;Van Gulick, 2011). Dennett (1991) proposes another Psychological contribution for conscious experiences called MDM (Multi Draft Model) (Dennett, 1991).…”

Section: Cognitive Theory Of Consciousnessmentioning

confidence: 99%

“…Hence each of these processors compete for global workspace, the processor which gets the access will form a conscious state of brain/mind at that point in time. Since it is a short term memory and is a limited resource, each conscious experience can stay for few seconds and then the next mental process will be loaded (Baars, 1988;Baars & McGovern, 1997;Franklin, 2009).…”

Section: Figure 1 Roboverse Environmentmentioning

confidence: 99%

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Consciousness and Commonsense Critics in Cognitive Architectures

Shylaja

Venkatamuni²,

Davis

et al. 2012

International Journal of Artificial Life Research

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The research identifies the concepts of consciousness and commonsense. It also investigates and demonstrates how consciousness level of an agent and its common sense reasoning abilities can improve the performance and intelligence using SMCA (Society of Mind Cognitive Architecture) as a case study. Consciousness is a sense of awareness about oneself and the surroundings in which the animal or human being lives. This gives a connection between a non materialistic mind and a materialistic brain. Common sense in common world is one that is immediately perceived by everyone from a given environment. A six tiered (layers) SMCA control model is designed that relies on a society of agents operating using metrics associated with the principles of artificial economics in animal cognition. SMCA is a society or collection of agents, where agents tasks implemented on testbed, demonstrates simple to complex level of consciousness and commonsense.

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Section: Cognitive Theory Of Consciousnessmentioning

confidence: 99%

Section: Figure 1 Roboverse Environmentmentioning

confidence: 99%

Consciousness and Commonsense Critics in Cognitive Architectures

Shylaja

Venkatamuni²,

Davis

et al. 2012

International Journal of Artificial Life Research

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Super-Intelligence and (Super-)Consciousness

Torrance

2012

Int. J. Mach. Conscious.

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A New Constructivist AI: From Manual Methods to Self-Constructive Systems

Þórisson¹

2012

Atlantis Thinking Machines

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The development of artificial intelligence (AI) systems has to date been largely one of manual labor. This constructionist approach to AI has resulted in systems with limited-domain application and severe performance brittleness. No AI architecture to date incorporates, in a single system, the many features that make natural intelligence general-purpose, including system-wide attention, analogy-making, system-wide learning, and various other complex transversal functions. Going beyond current AI systems will require significantly more complex system architecture than attempted to date. The heavy reliance on direct human specification and intervention in constructionist AI brings severe theoretical and practical limitations to any system built that way. One way to address the challenge of artificial general intelligence (AGI) is replacing a top-down architectural design approach with methods that allow the system to manage its own growth. This calls for a fundamental shift from hand-crafting to self-organizing architectures and self-generated code-what we call a constructivist AI approach, in reference to the self-constructive principles on which it must be based. Methodologies employed for constructivist AI will be very different from today's software development methods; instead of relying on direct design of mental functions and their implementation in a cognitive architecture, they must address the principles-the "seeds"-from which a cognitive architecture can automatically grow. In this paper I describe the argument in detail and examine some of the implications of this impending paradigm shift.

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Global Workspace Theory, Shanahan, and Lida

Cited by 3 publications

References 21 publications

Consciousness and Commonsense Critics in Cognitive Architectures

Consciousness and Commonsense Critics in Cognitive Architectures

Super-Intelligence and (Super-)Consciousness

A New Constructivist AI: From Manual Methods to Self-Constructive Systems

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