By Xinjun Mao, Eric Yu (auth.), James Odell, Paolo Giorgini, Jörg P. Müller (eds.)
The explosive development of software components akin to digital trade, ent- prise source making plans and cellular computing has profoundly and irreversibly replaced our perspectives on software program platforms. these days, software program is to be in response to open architectures that regularly switch and evolve to deal with new elements and meet new standards. software program also needs to function on di?- ent structures, with out recompilation, and with minimum assumptions approximately its working setting and its clients. in addition, software program has to be strong and ¨ independent, able to serving a naive person with no less than overhead and interference. Agent innovations carry nice promise for responding to the hot realities of software program platforms. They o?er higher-level abstractions and mechanisms which tackle matters reminiscent of wisdom illustration and reasoning, verbal exchange, coordination, cooperation between heterogeneous and self sufficient events, p- ception, commitments, objectives, ideals, and intentions, all of which want conceptual modelling. at the one hand, the concrete implementation of those options 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 resources, and automatic verbal exchange procedures. nonetheless, their wealthy representational features enable extra devoted and ?exible remedies of complicated organizational techniques, resulting in extra e?ective necessities an- ysis and architectural/detailed design.
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Extra info for Agent-Oriented Software Engineering V: 5th International Workshop, AOSE 2004, New York, NY, USA, July 19, 2004. Revised Selected Papers
Enriching use case modeling through the expression of intentionality, goalbased requirements modeling, problem decomposition, etc. 2. Modeling mental attitudes of autonomous entities, which represent their informational, motivational and deliberative states. Belief is a specialized UML class used to model information which autonomous entities have about themselves or their environment with a certain degree of subjective confidence. e. conditions of states of affairs, the achievement or maintenance of which is controlled by an autonomous entity or to which a modeling element may contribute.
1 2 3 Multi-Agent Nets,  Concurrent Agent Platform Architecture,  Reference Net Workshop, , ,  Formal Semantics for AUML Agent Interaction Protocol Diagrams 49 Different versions or flavors of AUML have been presented and discussed. See ,  and  for the old version (version 1) and their extensions. These are also used by the FIPA to describe the Interaction Protocols . The new version (version 2) is still under development (see , ). However, we are not concerned with the different flavors of the AUML agent interaction protocol diagrams.
Springer-Verlag (2001) 91–103 5. : Extending UML for agents. : Proceedings of the Agent-Oriented Information Systems Workshop at the 17th National conference on Artificial Intelligence, Austin, Texas, ICue Publishing (2000) 3–17 6. : Modeling agents and their environment. In: Proceedings of AOSE 2002, Bologna, Italy, Springer (2002) 16–31 7. : From requirements to architectural design using goals and scenarios. In: Software Requirements to Architectures Workshop (STRAW 2001), Toronto, Canada (2001) 8.