Software Engineering for Multi-Agent Systems II [electronic resource] : Research Issues and Practical Applications / edited by Carlos Lucena, Alessandro Garcia, Alexander Romanovsky, Jaelson Castro, Paulo S.C. Alencar.

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
1 online resource (XII, 284 pages)
1st ed. 2004.
Computer Science (Springer-11645)
Lecture notes in computer science 0302-9743 ; 2940
Lecture Notes in Computer Science, 0302-9743 ; 2940
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Software engineering.
Computer networks.
Computer programming.
User interfaces (Computer systems).
Artificial intelligence.
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Software Engineering/Programming and Operating Systems. (search)
Software Engineering. (search)
Computer Communication Networks. (search)
Programming Techniques. (search)
User Interfaces and Human Computer Interaction. (search)
Artificial Intelligence. (search)
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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.
Requirements Engineering
The Agent at the Center of the Requirements Engineering Process
Lexicon Based Ontology Construction
Multi-agent Systems and Security Requirements Analysis
Software Architecture and Design
Separation of Concerns in Multi-agent Systems: An Empirical Study
Architecting the Design of Multi-agent Organizations with Proto-frameworks
A Basic Taxonomy for Role Composition
Object-Oriented Modeling Approaches to Agent-Based Workflow Services
Using the MAS-ML to Model a Multi-agent System
Software Engineering Challenges for Mutable Agent Systems
Improving Exception Handling in Multi-agent Systems
On Manageability and Robustness of Open Multi-agent Systems
Security Mechanisms for Mobile Agent Platforms Based on SPKI/SDSI Chains of Trust
MAS Frameworks
Farm: A Scalable Environment for Multi-agent Development and Evaluation
Role-Based Approaches for Engineering Interactions in Large-Scale Multi-agent Systems
Evaluating Agent Architectures: Cougaar, Aglets and AAA.
Lucena, Carlos, editor., Editor,
Garcia, Alessandro. editor., Editor,
Romanovsky, Alexander. editor., Editor,
Castro, Jaelson. editor., Editor,
Alencar, Paulo S.C. editor., Editor,
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