01287nam0 2200349 450 00002960720111220150635.088-221-0719-520111213d1190----km-y0itaa50------baitaITGrammatica filosoficaLudwig Wittgensteinedizione italiana a cura di Mario TrincheroScandicci<<La>> Nuova Italia1190XXII, 473 p.22 cmPensatori del nostro tempo22Traduzione di Mario Trinchero2001Pensatori del nostro tempo222001Philosophische Grammatik24231Filosofia tedesca193(22. ed.)Filosofia occidentale moderna. Germania e AustriaWittgenstein,Ludwig51308Trinchero,MarioITUniversità della Basilicata - B.I.A.RICAunimarc000029607Philosophische Grammatik24231UNIBASLETTERESTD0760120111213BAS011115TTM3020111220BAS011458TTM3020111220BAS011506BAS01BAS01BOOKBASA1Polo Storico-UmanisticoDSLACollezione DiSSLADD/436436D4362011121304Prestabile Didattica05400nam 22008055 450 991048354580332120251226202604.01-280-38819-697866135661193-642-14843-310.1007/978-3-642-14843-9(CKB)2670000000045036(SSID)ssj0000446717(PQKBManifestationID)11291507(PQKBTitleCode)TC0000446717(PQKBWorkID)10496426(PQKB)11653950(DE-He213)978-3-642-14843-9(MiAaPQ)EBC3065915(PPN)149025335(EXLCZ)99267000000004503620100927d2010 u| 0engurnn|008mamaatxtccrProgramming Multi-Agent Systems 7th International Workshop, ProMAS 2009, Budapest, Hungary, May10-15, 2009.Revised Selected Papers /edited by Lars Braubach, Jean-Pierre Briot, John Thangarajah1st ed. 2010.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2010.1 online resource (XII, 285 p. 57 illus.) Lecture Notes in Artificial Intelligence,2945-9141 ;5919Bibliographic Level Mode of Issuance: Monograph3-642-14842-5 Includes bibliographical references and index.Communication 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.The 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.Lecture Notes in Artificial Intelligence,2945-9141 ;5919Artificial intelligenceComputer networksSoftware engineeringComputer programmingComputer simulationArtificial IntelligenceComputer Communication NetworksSoftware EngineeringProgramming TechniquesComputer ModellingArtificial intelligence.Computer networks.Software engineering.Computer programming.Computer simulation.Artificial Intelligence.Computer Communication Networks.Software Engineering.Programming Techniques.Computer Modelling.006.3Braubach Lars1751946Briot Jean-Pierre861273Thangarajah John1751947ProMAS (Conference)MiAaPQMiAaPQMiAaPQBOOK9910483545803321Programming multi-agent systems4187097UNINA