By Xinjun Mao, Eric Yu (auth.), James Odell, Paolo Giorgini, Jörg P. Müller (eds.)

ISBN-10: 3540242864

ISBN-13: 9783540242864

ISBN-10: 3540305785

ISBN-13: 9783540305781

The explosive development of software components similar to digital trade, ent- prise source making plans and cellular computing has profoundly and irreversibly replaced our perspectives on software program structures. these days, software program is to be in accordance with open architectures that consistently switch and evolve to deal with new parts and meet new standards. software program should also function on di?- ent structures, with out recompilation, and with minimum assumptions approximately its working setting and its clients. in addition, software program needs to be strong and ¨ self reliant, able to serving a naive consumer with at the very least overhead and interference. Agent options carry nice promise for responding to the recent realities of software program platforms. They o?er higher-level abstractions and mechanisms which handle matters resembling wisdom illustration and reasoning, verbal exchange, coordination, cooperation between heterogeneous and self reliant events, p- ception, commitments, targets, ideals, and intentions, all of which want conceptual modelling. at the one hand, the concrete implementation of those techniques can result in complicated functionalities, e.g., in inference-based question answering, tra- motion regulate, adaptive work?ows, brokering and integration of disparate inf- mation assets, and automatic verbal exchange methods. nonetheless, their wealthy representational services enable extra devoted and ?exible remedies of complicated organizational strategies, resulting in extra e?ective standards an- ysis and architectural/detailed design.

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Extra resources for Agent-Oriented Software Engineering V: 5th International Workshop, AOSE 2004, New York, NY, USA, July 19, 2004. Revised Selected Papers

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Each of the following extension methods (and combinations thereof) can be used: Metamodel extension. This offers first-class extensibility (as defined by MOF [24]) of the AML metamodel and notation. AML profile extension. This offers the possibility to adapt AML Profiles using constructs specific to a given domain, platform, or development method, without the need to modify the underlying AML metamodel. Concrete model extension. This offers the means to employ alternative MAS modeling approaches as complementary specifications to the AML model.

This context could also contain an activity diagram modeling the substitution algorithm, specification of necessary structural features, relationships, and capabilities of affected entity roles, etc. ), see [1]. 8 CASE Tools Support A necessary condition of successful dissemination of a modeling language into the software engineering community is the provision of tools supporting that et al. 44 language. 0). ), and forward-engineering tools for the agent platform TAP16. 9 Conclusions and Further Work AML represents a consistent framework for modeling applications that embody and/or exhibit characteristics of multi-agent systems.

In: Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2002), Bologna, Italy (2002) 21. : Analysis and design of multiagent systems using MAS-CommonKADS. : Intelligent Agents IV (LNAI Vol. 1365). Volume 1365. Springer-Verlag (1998) 313–326 46 et al. 22. : Multiagent systems engineering: A methodology and language for designing agent systems. In: Agent-Oriented Information Systems ’99 (AOIS’99), Seattle, WA (1999) 23. : The Specification of Computer Programs.

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Agent-Oriented Software Engineering V: 5th International Workshop, AOSE 2004, New York, NY, USA, July 19, 2004. Revised Selected Papers by Xinjun Mao, Eric Yu (auth.), James Odell, Paolo Giorgini, Jörg P. Müller (eds.)


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