LEADER 03976nam 2200637 a 450 001 9910483545803321 005 20200520144314.0 010 $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 $a20101026d2010 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aProgramming multi-agent systems $e7th International Workshop, ProMAS 2009, Budapest, Hungary, May 10-15, 2009 : revised selected papers /$fLars Braubach, Jean-Pierre Briot, John Thangarajah (eds.) 205 $a1st ed. 2010. 210 $aBerlin $cSpringer$d2010 215 $a1 online resource (XII, 285 p. 57 illus.) 225 1 $aLecture notes in computer science. Lecture notes in artificial intelligence,$x0302-9743 ;$v5919 225 1 $aLNCS sublibrary. SL 7, Artificial intelligence 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-14842-5 320 $aIncludes bibliographical references and index. 327 $a1. Communication models -- 2. Formal models -- 3. Organizations and environments -- 4. Analysis and debugging -- 5. Agent architectures -- 6. Applications. 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 computer science.$pLecture notes in artificial intelligence ;$v5919. 410 0$aLecture notes in computer science.$pLecture notes in artificial intelligence. 606 $aIntelligent agents (Computer software)$vCongresses 606 $aMultiagent systems$vCongresses 615 0$aIntelligent agents (Computer software) 615 0$aMultiagent systems 676 $a006.3 701 $aBraubach$b Lars$01751946 701 $aBriot$b Jean-Pierre$0861273 701 $aThangarajah$b John$01751947 712 12$aProMAS (Conference) 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483545803321 996 $aProgramming multi-agent systems$94187097 997 $aUNINA