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001449489 001__ 1449489
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001449489 019__ $$a1344324321
001449489 020__ $$a9783031167706$$q(electronic bk.)
001449489 020__ $$a3031167708$$q(electronic bk.)
001449489 020__ $$z9783031167690$$q(print)
001449489 020__ $$z3031167694
001449489 0247_ $$a10.1007/978-3-031-16770-6$$2doi
001449489 035__ $$aSP(OCoLC)1344337726
001449489 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ
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001449489 050_4 $$aTJ210.3$$b.I58 2022eb
001449489 08204 $$a006.3$$223/eng/20220913
001449489 1112_ $$aInternational Conference on Simulation of Adaptive Behavior$$n(16th :$$d2022 :$$cCergy-Pontoise, France)
001449489 24510 $$aFrom animals to animats 16 :$$b16th International Conference on Simulation of Adaptive Behavior, SAB 2022, Cergy-Pontoise, France, September 20-23, 2022, Proceedings /$$cLola Cañamero, Philippe Gaussier, Myra Wilson, Sofiane Boucenna, Nicolas Cuperlier (eds.).
001449489 2463_ $$aSAB 2022
001449489 264_1 $$aCham :$$bSpringer,$$c2022.
001449489 300__ $$a1 online resource (xiv, 217 pages) :$$billustrations (some color).
001449489 336__ $$atext$$btxt$$2rdacontent
001449489 337__ $$acomputer$$bc$$2rdamedia
001449489 338__ $$aonline resource$$bcr$$2rdacarrier
001449489 4901_ $$aLecture notes in artificial intelligence
001449489 4901_ $$aLecture notes in computer science ;$$v13499
001449489 4901_ $$aLNCS sublibrary, SL 7, Artificial intelligence
001449489 500__ $$aIncludes author index.
001449489 5050_ $$aEmbodiment -- How to Design Morphologies. A Design Process for Autonomous Robots -- Exploring sensitization in the context of extending the behavior of an artificial agent -- Investigating a Minimal Categorical Perception Task with a Node-Based Sensorimotor Map -- Deep Gaussian Processes for Angle and Position Discrimination in Active Touch Sensing -- Neural Body Bending Control with Temporal Delays for Millipede-Like Turning Behaviour of a Multi-Segmented, Legged Robot -- Brain-Inspired Control, Adaptation, and Learning -- Yoking-Based Identification of Learning Behavior in Artificial and Biological Agents -- Is free energy an organizational principle in spiking neural networks? -- Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy -- Adaptive Inhibition for Optimal Energy Consumption by Animals, Robots and Neurocomputers -- Adapting to Environment Changes through Neuromodulation of Reinforcement Learning -- Multi-task learning with modular reinforcement learning -- Bio-inspired Vision and navigation -- Same/different concept: an embodied spiking neural model in a learning context -- Sparse and topological coding for visual localisation of autonomous vehicles -- Contribution of the retrosplenial cortex to path integration signatures and spatial codes -- Flexible Path Planning in a Spiking Model of Replay and Vicarious Trial and Error -- Affective and Social Cognition and Collective Intelligence -- Impact of the Update Time on the Aggregation of Robotic Swarms through Informed Robots -- On the Adaptive Value of Mood and Mood Contagion.
001449489 506__ $$aAccess limited to authorized users.
001449489 520__ $$aThis book constitutes the refereed proceedings of the 16th International Conference on Simulation of Adaptive Behavior, SAB 2022, held in Cergy-Pontoise, France, in September 2022. The 17 papers presented in this volume were carefully reviewed and selected from 23 submissions. They were organized in topical sections as follows: Embodiment; Brain-Inspired Control, Adaptation, and Learning; Bio-inspired Vision and navigation; Affective and Social Cognition and Collective Intelligence.
001449489 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 13, 2022).
001449489 650_0 $$aAdaptive computing systems$$vCongresses.
001449489 650_0 $$aRobotics$$vCongresses.
001449489 650_0 $$aRobots$$vCongresses.
001449489 650_0 $$aComputer vision$$vCongresses.
001449489 655_0 $$aElectronic books.
001449489 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001449489 7001_ $$aCañamero, Lola,$$eeditor.$$1https://orcid.org/0000-0001-6903-1348
001449489 7001_ $$aGaussier, P.$$q(Philippe),$$eeditor.$$1https://orcid.org/0000-0003-2028-2044
001449489 7001_ $$aWilson, Myra S.,$$eeditor.
001449489 7001_ $$aBoucenna, Sofiane,$$eeditor.$$0(orcid)0000-0002-9385-1239$$1https://orcid.org/0000-0002-9385-1239
001449489 7001_ $$aCuperlier, Nicolas,$$eeditor.$$0(orcid)0000-0001-7610-3143$$1https://orcid.org/0000-0001-7610-3143
001449489 77608 $$iPrint version: $$z3031167694$$z9783031167690$$w(OCoLC)1342105979
001449489 830_0 $$aLecture notes in computer science.$$pLecture notes in artificial intelligence.
001449489 830_0 $$aLecture notes in computer science ;$$v13499.
001449489 830_0 $$aLNCS sublibrary.$$nSL 7,$$pArtificial intelligence.
001449489 852__ $$bebk
001449489 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16770-6$$zOnline Access$$91397441.1
001449489 909CO $$ooai:library.usi.edu:1449489$$pGLOBAL_SET
001449489 980__ $$aBIB
001449489 980__ $$aEBOOK
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