Map learning with uninterpreted sensors and effectors

DOI10.1016/S0004-3702(96)00051-3zbMath1017.68546OpenAlexW2013896409MaRDI QIDQ1402736

D. Massart

Publication date: 28 August 2003

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0004-3702(96)00051-3

zbMATH Keywords

Abstract interfacesAction modelsChanges of representationCognitive mapsFeature learningMap learningSpatial semantic hierarchy

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Artificial intelligence for robotics (68T40)

Related Items (4)

Map learning with uninterpreted sensors and effectors ⋮ INFORMATION-DRIVEN ORGANIZATION OF VISUAL RECEPTIVE FIELDS ⋮ THE SPATIAL SEMANTIC HIERARCHY IMPLEMENTED WITH AN OMNIDIRECTIONAL VISION SYSTEM ⋮ The Spatial Semantic Hierarchy

Cites Work

• Learning regular sets from queries and counterexamples
• A simplified neuron model as a principal component analyzer
• Self-organization and associative memory.
• Map learning with uninterpreted sensors and effectors
• Inference of finite automata using homing sequences
• Complexity of automaton identification from given data
• On the complexity of minimum inference of regular sets
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