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Agent-Oriented Software Engineering V [Recurso electrónico] / 5th International Workshop, AOSE 2004, New York, NY, USA, July 2004, Revised Selected Papers edited by Paolo Giorgini, JÃœrg, P. MÃơller, James Odell.

Giorgini, Paolo.
Contributor(s): MÃơller, JÃœrg, P | Odell, James | SpringerLink (Online service).
Material type: materialTypeLabelComputer file; Format: electronic available online remoteSeries: Lecture Notes in Computer Science, 3382.Publisher: Berlin Heidelberg : Springer-Verlag GmbH., 2005Description: v.: digital.ISBN: 9783540305781.Subject(s): Artificial intelligence | Computer Communication Networks | Computer science | Computer science | Logic design | Software engineering | Computer Science | Artificial Intelligence (incl. Robotics) | Computer Communication Networks | Logics and Meanings of Programs | Programming Languages, Compilers, Interpreters | Programming Techniques | Software EngineeringOnline resources: Texto completo In: Springer e-books
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The explosive growth of application areas such as electronic commerce, ent- prise resource planning and mobile computing has profoundly and irreversibly changed our views on software systems. Nowadays, software is to be based on open architectures that continuously change and evolve to accommodate new components and meet new requirements. Software must also operate on di?- ent platforms, without recompilation, and with minimal assumptions about its operating environment and its users. Furthermore, software must be robust and ¨ autonomous, capable of serving a naive user with a minimum of overhead and interference. Agent concepts hold great promise for responding to the new realities of software systems. They o?er higher-level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties, p- ception, commitments, goals, beliefs, and intentions, all of which need conceptual modelling. On the one hand, the concrete implementation of these concepts can lead to advanced functionalities, e.g., in inference-based query answering, tra- action control, adaptive work?ows, brokering and integration of disparate inf- mation sources, and automated communication processes. On the other hand, their rich representational capabilities allow more faithful and ?exible treatments of complex organizational processes, leading to more e?ective requirements an- ysis and architectural/detailed design.

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