Prediction-for-CompAction: navigation in social environments using generalized cognitive maps

DOI10.1007/S00422-015-0644-8zbMath1414.91314OpenAlexW2024096728WikidataQ45953580 ScholiaQ45953580MaRDI QIDQ309514

Valeri A. Makarov, Carlos Calvo, José Antonio Villacorta-Atienza

Publication date: 7 September 2016

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00422-015-0644-8

zbMATH Keywords

decision makingnonlinear dynamicscognitioncompact cognitive mapsdynamic GPSnavigation in dynamic situations

Mathematics Subject Classification ID

Decision theory (91B06) Learning and adaptive systems in artificial intelligence (68T05) Cognitive psychology (91E10)

Related Items (4)

Limb Movement in Dynamic Situations Based on Generalized Cognitive Maps ⋮ Noise Enhanced Signaling in STDP Driven Spiking-Neuron Network ⋮ Application of the laminar Navier-Stokes equations for solving 2D and 3D pathfinding problems with static and dynamic spatial constraints: implementation and validation in Comsol Multiphysics ⋮ High-dimensional brain: a tool for encoding and rapid learning of memories by single neurons

Cites Work

• Elements for a general memory structure: properties of recurrent neural networks used to form situation models
• Compact internal representation of dynamic situations: neural network implementing the causality principle
• Simulation of hysteresis loops for polycrystalline ferroelectrics by an extensive Landau-type model

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