LEADER 03250nam 22006612 450 001 9910455621703321 005 20151005020623.0 010 $a1-107-11736-4 010 $a0-511-00994-1 010 $a1-280-43252-7 010 $a0-511-17235-4 010 $a0-511-15083-0 010 $a0-511-32473-1 010 $a0-511-60576-5 010 $a0-511-04821-1 035 $a(CKB)111087027185772 035 $a(EBL)144747 035 $a(OCoLC)50758952 035 $a(SSID)ssj0000111912 035 $a(PQKBManifestationID)11129679 035 $a(PQKBTitleCode)TC0000111912 035 $a(PQKBWorkID)10080989 035 $a(PQKB)11512042 035 $a(UkCbUP)CR9780511605765 035 $a(MiAaPQ)EBC144747 035 $a(Au-PeEL)EBL144747 035 $a(CaPaEBR)ebr2000849 035 $a(CaONFJC)MIL43252 035 $a(EXLCZ)99111087027185772 100 $a20090910d2000|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBiolinguistics $eexploring the biology of language /$fLyle Jenkins$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2000. 215 $a1 online resource (xiii, 264 pages) $cdigital, PDF file(s) 225 1 $aCambridge approaches to linguistics 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-00391-1 311 $a0-521-65233-2 320 $aIncludes bibliographical references (p. 234-253) and index. 327 $aPreliminaries; Contents; Preface; Acknowledgements; Introduction; 1 The unification problem; 2 Knowledge and use of language; 3 Acquisition (growth) of language; 4 Mechanisms of language; 5 Evolution of language; 6 Conclusion; References; Index 330 $aThis book investigates the nature of human language and its importance for the study of the mind. In particular, it examines current work on the biology of language. Lyle Jenkins reviews the evidence that language is best characterized by a generative grammar of the kind introduced by Noam Chomsky in the 1950s and developed in various directions since that time. He then discusses research into the development of language which tries to capture both the underlying universality of human language, as well as the diversity found in individual languages (Universal Grammar). Finally, he discusses a variety of approaches to language design and the evolution of language. An important theme is the integration of biolinguistics into the natural sciences - the 'unification problem'. Jenkins also answers criticisms of the biolinguistic approach from a number of other perspectives, including evolutionary psychology, cognitive science, connectionism and ape language research, among others. 410 0$aCambridge approaches to linguistics. 606 $aBiolinguistics 606 $aGrammar, Comparative and general 615 0$aBiolinguistics. 615 0$aGrammar, Comparative and general. 676 $a401 700 $aJenkins$b Lyle$0591779 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910455621703321 996 $aBiolinguistics$921643 997 $aUNINA LEADER 03909nam 22007335 450 001 9910427668703321 005 20251113193014.0 010 $a3-030-64096-5 024 7 $a10.1007/978-3-030-64096-5 035 $a(CKB)4100000011610136 035 $a(MiAaPQ)EBC6408005 035 $a(DE-He213)978-3-030-64096-5 035 $a(PPN)252507029 035 $a(EXLCZ)994100000011610136 100 $a20201124d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDistributed Artificial Intelligence $eSecond International Conference, DAI 2020, Nanjing, China, October 24?27, 2020, Proceedings /$fedited by Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 141 p. 5 illus.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12547 311 08$a3-030-64095-7 327 $aParallel Algorithm for Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning -- LAC-Nav: Collision-Free Multiagent Navigation Based on The Local ActionCells -- MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning -- D3PG: Decomposed Deep Deterministic Policy Gradient for Continuous Control -- Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control -- Hybrid Independent Learning in Cooperative Markov Games -- Efficient Exploration By Novelty-Pursuit -- Context-aware Multi-Agent Coordination with Loose Couplings and Repeated Interaction -- Battery Management for Automated Warehouses via Deep Reinforcement Learning. 330 $aThis book constitutes the refereed proceedings of the Second International Conference on Distributed Artificial Intelligence, DAI 2020, held in Nanjing, China, in October 2020. The 9 full papers presented in this book were carefully reviewed and selected from 22 submissions. DAI aims at bringing together international researchers and practitioners in related areas including general AI, multiagent systems, distributed learning, computational game theory, etc., to provide a single, high-profile, internationally renowned forum for research in the theory and practice of distributed AI. Due to the Corona pandemic this event was held virtually. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v12547 606 $aArtificial intelligence 606 $aComputers, Special purpose 606 $aApplication software 606 $aComputers 606 $aComputer networks 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aArtificial Intelligence 606 $aSpecial Purpose and Application-Based Systems 606 $aComputer and Information Systems Applications 606 $aComputing Milieux 606 $aComputer Communication Networks 606 $aProbability and Statistics in Computer Science 615 0$aArtificial intelligence. 615 0$aComputers, Special purpose. 615 0$aApplication software. 615 0$aComputers. 615 0$aComputer networks. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 14$aArtificial Intelligence. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aComputer and Information Systems Applications. 615 24$aComputing Milieux. 615 24$aComputer Communication Networks. 615 24$aProbability and Statistics in Computer Science. 676 $a006.3 702 $aTaylor$b Matthew E. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427668703321 996 $aDistributed artificial intelligence$9885012 997 $aUNINA