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Software Engineering for Multi-Agent Systems II - Research Issues and Practical Applications (Paperback, 2004 ed.)
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Software Engineering for Multi-Agent Systems II - Research Issues and Practical Applications (Paperback, 2004 ed.)
Series: Lecture Notes in Computer Science, 2940
Expected to ship within 10 - 15 working days
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Advances in networking technology have revitalized the
investigation of agent
technologyasapromisingparadigmforengineeringcomplexdistributedsoftware
systems. Agent technology has been applied to a wide range of
application - mains, including e-commerce, human-computer
interfaces, telecommunications, and software assistants.
Multi-agent systems (MASs) and their underlying t- ories provide a
more natural support for ensuring important properties such as
autonomy, mobility, environment heterogeneity, organization,
openness, and intelligence. As a consequence, agent-based systems
are likely to provide new - proaches to dealing with the complexity
of developing and maintaining modern software. However, developing
robust large-scale agent-based systems will - quire new software
engineering approaches. There are currently many methods and
techniques for working with individual agents or with systems built
using only a few agents. Unfortunately, agent-based software
engineering is still in its infancy and existing software
engineering approaches are unable to cope with large MASs. The
complexity associated with a large MAS is considerable. When a huge
number of agents interact over heterogeneous environments, various
phenomena occur which are not as easy to capture as when only a few
agents are working together. As the multiple software agents are
highly collaborative and operate in networked environments, they
have to be context-aware and deal with - vironment uncertainty.
This makes their coordination and management more di?cult and
increases the likelihood of exceptional situations, such as
security holes, privacy violations, and unexpected global e?ects.
Moreover, as users and
softwareengineersdelegatemoreautonomytotheirMASs, andputmoretrustin
their results, new concerns arise in real-life applications
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