LEADER 06079nam 22007335 450 001 996465666903316 005 20230424195102.0 010 $a3-540-39173-8 024 7 $a10.1007/3-540-39173-8 035 $a(CKB)1000000000211912 035 $a(SSID)ssj0000322915 035 $a(PQKBManifestationID)11294487 035 $a(PQKBTitleCode)TC0000322915 035 $a(PQKBWorkID)10296817 035 $a(PQKB)11556808 035 $a(DE-He213)978-3-540-39173-9 035 $a(MiAaPQ)EBC3073282 035 $a(PPN)155236105 035 $a(EXLCZ)991000000000211912 100 $a20121227d2003 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aEngineering Societies in the Agents World III$b[electronic resource] $eThird International Workshop, ESAW 2002, Madrid, Spain, September 16-17, 2002, Revised Papers /$fedited by Paolo Petta, Robert Tolksdorf, Franco Zambonelli 205 $a1st ed. 2003. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2003. 215 $a1 online resource (X, 290 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2577 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-14009-3 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aViews -- A Discussion of Two Major Benefits of Using Agents in Software Development -- Signs of a Revolution in Computer Science and Software Engineering -- Models -- Rationality, Autonomy and Coordination: The Sunk Costs Perspective -- A Normative and Intentional Agent Model for Organisation Modelling -- Simulating Computational Societies -- Co-Fields: Towards a Unifying Approach to the Engineering of Swarm Intelligent Systems -- A Schema for Specifying Computational Autonomy -- Activity Theory as a Framework for MAS Coordination -- An Operational Framework for the Semantics of Agent Communication Languages -- Access-as-you-need: A Computational Logic Framework for Accessing Resources in Artificial Societies -- Motivating Participation in Peer to Peer Communities -- Engineering -- ADELFE: A Methodology for Adaptive Multi-agent Systems Engineering -- Evaluating Multi-agent System Architectures: A Case Study Concerning Dynamic Resource Allocation -- Engineering Agent Systems for Decision Support -- Co-ordinating Heterogeneous Interactions in Systems Composed of Active Human and Agent Societies -- Modelling and Design -- SABPO: A Standards Based and Pattern Oriented Multi-agent Development Methodology -- Modelling a Multi-agent System Environment -- Towards a Methodology for Coordination Mechanism Selection in Open Systems -- Specification by Refinement and Agreement: Designing Agent Interaction Using Landmarks and Contracts -- An Agent and Goal-Oriented Approach for Virtual Enterprise Modelling: A Case Study. 330 $aThe characteristics of software systems are undergoing dramatic changes. We are moving rapidly into the age of ubiquitous information services. Persistent computing systems are being embedded in everyday objects. They interact in an autonomous way with each other to provide us with increasingly complex services and functionalities that we can access at any time from anywhere. As a consequence, not only do the numbers of components of software systems increase; there is also a strong qualitative impact. Software systems are increasingly made up of autonomous, proactive, networked components. These interact with each other in patterns and via mechanisms that can hardly be modeled in terms of classical models of interaction or service-oriented coordination. To some extent, future software systems will exhibit characteristics making them more resemblant of natural systems and societies than of mechanical systems and software architectures. This situation poses exciting challenges to computer scientists and software engineers. Already, software agents and multi-agent systems are recognized as both useful abstractions and effective technologies for the modeling and building of complex distributed applications. However, little is done with regard to effective and methodic development of complex software systems in terms of multi-agent societies. An urgent need exists for novel approaches to software modeling and software engineering that enable the successful deployment of software systems made up of a massive number of autonomous components, and that allow us to control and predict their behaviour. 410 0$aLecture Notes in Artificial Intelligence ;$v2577 606 $aArtificial intelligence 606 $aComputer communication systems 606 $aComputer programming 606 $aSoftware engineering 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 $aProgramming Techniques$3https://scigraph.springernature.com/ontologies/product-market-codes/I14010 606 $aSoftware Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/I14029 615 0$aArtificial intelligence. 615 0$aComputer communication systems. 615 0$aComputer programming. 615 0$aSoftware engineering. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aProgramming Techniques. 615 24$aSoftware Engineering. 676 $a006.3 702 $aPetta$b Paolo$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTolksdorf$b Robert$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZambonelli$b Franco$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aESAW 2002 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465666903316 996 $aEngineering Societies in the Agents World III$92168174 997 $aUNISA