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020 _a9783540365402
_9978-3-540-36540-2
024 7 _a10.1007/3-540-36540-0
_2doi
050 4 _aQA76.758
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_2bicssc
072 7 _aCOM051230
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245 1 0 _aAgent-Oriented Software Engineering III
_h[electronic resource] :
_bThird International Workshop, AOSE 2002, Bologna, Italy, July 15, 2002, Revised Papers and Invited Contributions /
_cedited by Fausto Giunchiglia, James Odell, Gerhard Weiß.
250 _a1st ed. 2003.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2003.
300 _aX, 234 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2585
505 0 _aModeling, Specification, and Validation -- Specifying Electronic Societies with the Causal Calculator -- Modeling Agents and Their Environment -- Validation of Multiagent Systems by Symbolic Model Checking -- Patterns,Architectures,and Reuse -- Patterns in Agent-Oriented Software Engineering -- Concurrent Architecture for a Multi-agent Platform -- Re-use of Interaction Protocols for Agent-Based Control Applications -- Architecting for Reuse: A Software Framework for Automated Negotiation -- Multi-agent and Software Architectures: A Comparative Case Study -- UML and Agent Systems -- Using UML State Machine Models for More Precise and Flexible JADE Agent Behaviors -- Generating Machine Processable Representations of Textual Representations of AUML -- A UML Profile for External Agent-Object-Relationship (AOR) Models -- Extending Agent UML Sequence Diagrams -- Methodologies and Tools -- The Tropos Software Development Methodology: Processes, Models and Diagrams -- Prometheus: A Methodology for Developing Intelligent Agents -- Tool-Supported Process Analysis and Design for the Development of Multi-agent Systems -- Assembling Agent Oriented Software Engineering Methodologies from Features -- Positions and Perspectives -- Agent-Oriented Software Technologies: Flaws and Remedies.
520 _aOver the past three decades, software engineers have derived a progressively better understanding of the characteristics of complexity in software. It is now widely recognised thatinteraction is probably the most important single char- teristic of complex software. Software architectures that contain many dyna- cally interacting components, each with their own thread of control, and eng- ing in complex coordination protocols, are typically orders of magnitude more complex to correctly and e?ciently engineer than those that simply compute a function of some input through a single thread of control. Unfortunately, it turns out that many (if not most) real-world applications have precisely these characteristics. As a consequence, a major research topic in c- puter science over at least the past two decades has been the development of tools and techniques to model, understand, and implement systems in which interaction is the norm. Indeed, many researchers now believe that in future computation itself will be understood as chie?y a process of interaction.
650 0 _aSoftware engineering.
650 0 _aSocial sciences.
650 0 _aHumanities.
650 0 _aComputer science.
650 0 _aComputer networks .
650 0 _aCompilers (Computer programs).
650 1 4 _aSoftware Engineering.
650 2 4 _aHumanities and Social Sciences.
650 2 4 _aTheory of Computation.
650 2 4 _aComputer Communication Networks.
650 2 4 _aCompilers and Interpreters.
700 1 _aGiunchiglia, Fausto.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aOdell, James.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aWeiß, Gerhard.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540007135
776 0 8 _iPrinted edition:
_z9783662183564
830 0 _aLecture Notes in Computer Science,
_x1611-3349 ;
_v2585
856 4 0 _uhttps://doi.org/10.1007/3-540-36540-0
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