The LIDA model’s hypotheses on the cognitive cycle, high-level cognitive processes, and brain rhythms Who”s IDA Stan Franklin.

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Presentation transcript:

The LIDA model’s hypotheses on the cognitive cycle, high-level cognitive processes, and brain rhythms Who”s IDA Stan Franklin

Cognitive Architecture Attempts to mirror the structure of cognitive systems (e.g. humans) So as to produce behaviors mirroring those of cognitive systems Can be conceptual or computational or both LIDA is a cognitive architecture October 19, 2007 Univ of Memphis — Computer Science Department

LIDA based on Cognitive Science LIDA implements central ideas from Global Workspace Theory (Baars 1988) LIDA also implements central ideas from other cognitive theories Embodied cognition (Glenberg & Robertson 2000) Perceptual symbol systems (Barsalou 1999) Long-term working memory (Ericsson &  Kintsch 1995) Transient episodic memory (Conway 2001) October 19, 2007 Univ of Memphis — Computer Science Department

LIDA Cognitive Architecture Basic assumptions Every autonomous agent operates by frequent iteration of sense-process-act cycles A LIDA controlled agent functions via a continual cascade of cognitive cycles High-level cognitive processes are produced by sequences of these cognitive cycles October 19, 2007 Univ of Memphis — Computer Science Department

Functions of a Cognitive Cycle Sense the environment (internal or external) Understand the current situation Decide what part to attend to Select an appropriate action to take Execute the action (internal or external)

LIDA Cognitive Cycle

LIDA’s Workspace Workspace

Human Cognitive Cycle Processing Hypothesis— Human cognitive processing is via a continuing iteration of Cognitive Cycles Duration— Each cognitive cycle takes roughly 200 ms Cascading— Several cycles may have parts running simultaneously in parallel Seriality— Consciousness maintains serial order and the illusion of continuity Cycle— The cognitive cycle corresponds to the action/perception cycle

Feelings & Emotions Feelings – thirst, pain, anxiety, boredom Emotions – fear, shame, confusion Emotions = feelings with cognitive content Feelings (including emotions) serve to Implement motivations Modulate learning Bias sensory-motor actions

Learning in LIDA Learning takes place during each cycle Learning is a function of attention and of arousal level Feelings and emotions modulate learning Modes of learning Perceptual Episodic Procedural

Selectionist & Instructionalist Learning Selectionist Learning selected for reinforcement from a redundant repertoire Instructionalist Learning new representations constructed LIDA learns by both methods

Modifying Base-level Activation

Decay Curve Low base-level activation — rapid decay Saturated base-level activation — almost no decay

High-level Cognitive Processes Requires multiple cognitive cycles Examples Volitional decision making Planning Scheduling Problem solving Imagination Theory of mind Metacognition

High-level Cognitive Process Hypothesis Each such high-level process operates via a sequence of cognitive cycles Each is implement by a collection of behavior streams – partially ordered sets of behaviors October 19, 2007 Univ of Memphis — Computer Science Department

High-level, broad, integrative, cognitive models Include processes from sensation to action, including learning Empirically grounded in cognitive science and neuroscience Provide hypotheses to guide research October 19, 2007 Univ of Memphis — Computer Science Department

Attractor Landscape Level (Non-linear Dynamics) Cognitive Model Level Cell Assembly Level (Neuroscience) Attractor Landscape Level (Non-linear Dynamics) Cognitive Model Level (Cognitive Science)

Neural Correlates of LIDA Components Available online at http://ccrg.cs.memphis.edu/tutorial/correlates.html October 19, 2007 Univ of Memphis — Computer Science Department

Action-Perception Cycle (Intentional Arc) Freeman,  W  J. 1995. Societies of brains. Hillsdale NJ: Lawrence Erlbaum.

Theta-Gamma Coupling Jensen, O & LL Colgin. 2007. Cross-frequency coupling between neuronal oscillations. TRENDS in Cognitive Sciences 11, no. 7: 267-269. Canolty et al. 2006. High gamma power is phase-locked to theta oscillations in human neocortex. Science 313: 1626–1628.

Dreaming Rhythms Hypothesis Dreaming occurs during REM and NREM sleep Hypothesis: Dreaming is characterized by theta coupled with gamma AM modulation (somewhere ?)

Email and Web Addresses Stan Franklin franklin@memphis.edu www.cs.memphis.edu/~franklin Cognitive Computing Research Group http://ccrg.cs.memphis.edu/ October 19, 2007 Univ of Memphis — Computer Science Department