Cognitive Design for Artificial Minds


AcknowledgementsCognitive science and artificial intelligence: death and rebirth of a collaborationWhen Cognitive Science was AIFrom the general problem-solver to the society of mind: cognitivist insights from the early AI eraHeuristics and AI erasModelling paradigms and AI eras: cognitivist and emergentist perspectivesDeath and rebirth of a collaborationCognitive and machine-oriented approaches to intelligence in artificial systemsNature- vs. machine-inspired approaches to artificial systemsFunctionalist vs. structuralist design approachesLevels of analysis of computational systemsThe space of cognitive systemsFunctional and structural neural systemsFunctional and structural symbolic systemsPrinciples of the cognitive design approachClassical, bounded, and bounded-rational models of cognitionResource-rationality modelsKinds of explanationsLevels of plausibility and the minimal cognitive grid (MCG)Examples of cognitively inspired systems and application of the Minimal Cognitive GridModern AI systems: cognitive computing?Cognitive architecturesSOARACT-RTwo problems for the knowledge level in cognitive architecturesKnowledge size and knowledge heterogeneity in SOAR and ACT-RDUAL PECCSEvaluating the performances of artificial systems“Thinking” machines and Turing Test(s)The Chinese RoomThe Newell test for a theory of cognitionThe Winograd Schema ChallengeDARPA challenges, RoboCup, and RoboCup@HomeComparisonThe next stepsThe road travelledThe way forwardTowards a standard model of mind/common model of cognitionCommunity
 
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