By Xinjun Mao, Eric Yu (auth.), James Odell, Paolo Giorgini, Jörg P. Müller (eds.)
The explosive progress of program parts resembling 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 constantly switch and evolve to house new elements and meet new specifications. software program also needs to function on di?- ent structures, with no recompilation, and with minimum assumptions approximately its working atmosphere and its clients. in addition, software program has to be powerful and ¨ self sustaining, able to serving a naive consumer with not less than overhead and interference. Agent suggestions carry nice promise for responding to the hot realities of software program structures. They o?er higher-level abstractions and mechanisms which tackle concerns comparable to wisdom illustration and reasoning, conversation, 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 strategies may end up in complicated functionalities, e.g., in inference-based question answering, tra- motion keep an eye on, adaptive work?ows, brokering and integration of disparate inf- mation resources, and automatic conversation tactics. nonetheless, their wealthy representational services permit extra trustworthy and ?exible remedies of complicated organizational methods, resulting in extra e?ective specifications an- ysis and architectural/detailed design.
Read or Download Agent-Oriented Software Engineering V: 5th International Workshop, AOSE 2004, New York, NY, USA, July 19, 2004. Revised Selected Papers PDF
Similar computers books
This booklet constitutes the court cases of the twenty third foreign Seminar on present traits in conception and perform of Informatics, SOFSEM '96, held in Milovy, Czech Republic, in November 1996. the amount offers a different number of 19 invited papers appropriately surveying the sphere. those papers are equipped in sections on basics, disbursed and parallel computing, AI and keep an eye on platforms, databases and digital records, clinical computing and visualization, programming and software program engineering.
'Making IT count number: from technique to implementation' makes a speciality of the sensible components of supplying details know-how method. reports frequently express that over part of knowledge expertise recommendations are by no means applied, or are unsuccessful in supplying the specified effects, and major percent of ideas applied have been by no means within the unique plans.
- Machine Learning: ECML 2004: 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004. Proceedings
- Concept Lattices: Second International Conference on Formal Concept Analysis, ICFCA 2004, Sydney, Australia, February 23-26, 2004. Proceedings
- Cloud Application Architectures: Building Applications and Infrastructure in the Cloud
- Adobe(R) PageMaker(R) 7.0 Classroom in a Book
- Computers Helping People with Special Needs: 13th International Conference, ICCHP 2012, Linz, Austria, July 11-13, 2012, Proceedings, Part I
Additional resources for Agent-Oriented Software Engineering V: 5th International Workshop, AOSE 2004, New York, NY, USA, July 19, 2004. Revised Selected Papers
Extensions to OCL and CASE tool support are also discussed. 1 Introduction The Agent Modeling Language (AML) is a semi-formal1 visual modeling language for specifying, modeling and documenting systems that incorporate concepts drawn from Multi-Agent Systems (MAS) theory. The primary application context of AML is to systems explicitly designed using software multi-agent system concepts. AML can however also be applied to other domains such as business systems, social systems, robotics, etc. In general, AML can be used whenever it is suitable or useful to build models that (1) consist of a number of autonomous, concurrent and/or asynchronous (possibly proactive) entities, (2) comprise entities that are able to observe and/or interact with their environment, (3) make use of complex interactions and aggregated services, (4) employ social structures, and (5) capture mental characteristics of systems and/or their parts.
0: a message is complete if there is a sending event occurrence and a receiving event occurrence. a message is lost if it is known that there is a sending event occurrence but there is no receiving event occurrence. This is particularly the case in unreliable communication. a message is found if a receiving event occurrence is known but there is no (known) sending event occurrence. This is the case where the sender is outside the scope of the description. It could be an activity that this communication does not take into account.
To qualify this more precisely, AML was intended to be a language that: is built on proven technical foundations, integrates best practices from agent-oriented software engineering (AOSE) and object-oriented software engineering (OOSE) domains, is well specified and documented, is internally consistent from the conceptual, semantic and syntactic perspectives, is versatile and easy to extend, is independent of any particular theory, software development process or implementation environment, and is supported by Computer-Aided Software Engineering (CASE) tools.
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.)