LEADER 06084nam 22007935 450 001 996465922303316 005 20200703180419.0 010 $a1-280-38819-6 010 $a9786613566119 010 $a3-642-14843-3 024 7 $a10.1007/978-3-642-14843-9 035 $a(CKB)2670000000045036 035 $a(SSID)ssj0000446717 035 $a(PQKBManifestationID)11291507 035 $a(PQKBTitleCode)TC0000446717 035 $a(PQKBWorkID)10496426 035 $a(PQKB)11653950 035 $a(DE-He213)978-3-642-14843-9 035 $a(MiAaPQ)EBC3065915 035 $a(PPN)149025335 035 $a(EXLCZ)992670000000045036 100 $a20100927d2010 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aProgramming Multi-Agent Systems$b[electronic resource] $e7th International Workshop, ProMAS 2009, Budapest, Hungary, May10-15, 2009.Revised Selected Papers /$fedited by Lars Braubach, Jean-Pierre Briot, John Thangarajah 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XII, 285 p. 57 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v5919 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-14842-5 320 $aIncludes bibliographical references and index. 327 $aCommunication Models -- Programming Multiagent Systems without Programming Agents -- Elements of a Business-Level Architecture for Multiagent Systems -- A Computational Semantics for Communicating Rational Agents Based on Mental Models -- Formal Models -- Multi-Agent Systems: Modeling and Verification Using Hybrid Automata -- Probabilistic Behavioural State Machines -- Golog Speaks the BDI Language -- Organizations and Environments -- A Middleware for Modeling Organizations and Roles in Jade -- An Open Architecture for Service-Oriented Virtual Organizations -- Formalising the Environment in MAS Programming: A Formal Model for Artifact-Based Environments -- Analysis and Debugging -- Debugging BDI-Based Multi-Agent Programs -- Space-Time Diagram Generation for Profiling Multi Agent Systems -- Infrastructure for Forensic Analysis of Multi-Agent Based Simulations -- Agent Architectures -- Representing Long-Term and Interest BDI Goals -- Introducing Relevance Awareness in BDI Agents -- Modularity and Compositionality in Jason -- Applications -- A MultiAgent System for Monitoring Boats in Marine Reserves -- Agent-Oriented Control in Real-Time Computer Games. 330 $aThe earliest work on agents may be traced at least to the ?rst conceptualization of the actor model by Carl Hewitt. In a paper in an AI conference in the early 1970s, Hewitt described actors as entities with knowledge and goals. Research on actors continued to focus on AI with the development of the Sprites model in which a monotonically growing knowledge base could be accessed by actors (inspired by what Hewitt called ?the Scienti?c Computing Metaphor?). In the late1970sandwellinto 1980s,controversyragedinAIbetweenthosearguingfor declarative languages and those arguing for procedural ones. Actor researchers stood on the side of a procedural view of knowledge, arguing for an open s- tems perspective rather than the closed world hypothesis necessary for a logical, declarativeview. In the open systemsview,agentshad armslength relationships and could not be expected to store consistent facts, nor could the information in a system be considered complete (the ?negation as failure? model). Subsequent work on actors, including my own, focused on using actors for general purpose concurrent and distributed programming. In the late 1980s, a number of actor languages and frameworks were built. These included Act++ (in C++) by Dennis Kafura and Actalk (in Smalltalk) by Jean-Pierre Briot. In recent times, the use of the Actor model, in various guises, has proliferated as new parallel and distributed computing platforms and applications have become common:clusters,Webservices,P2Pnetworks,clientprogrammingonmulticore processors, and cloud computing. 410 0$aLecture Notes in Artificial Intelligence ;$v5919 606 $aArtificial intelligence 606 $aComputer communication systems 606 $aSoftware engineering 606 $aComputer programming 606 $aComputer simulation 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 606 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 615 0$aArtificial intelligence. 615 0$aComputer communication systems. 615 0$aSoftware engineering. 615 0$aComputer programming. 615 0$aComputer simulation. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aSoftware Engineering/Programming and Operating Systems. 615 24$aSoftware Engineering. 615 24$aProgramming Techniques. 615 24$aSimulation and Modeling. 676 $a006.3 702 $aBraubach$b Lars$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBriot$b Jean-Pierre$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aThangarajah$b John$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aProMAS (Conference) 906 $aBOOK 912 $a996465922303316 996 $aProgramming Multi-Agent Systems$9772268 997 $aUNISA