Agent-Oriented Software Engineering IV 4th InternationalWorkshop, AOSE 2003, Melbourne, Australia, July 15, 2003. Revised Papers /

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 n...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Giorgini, Paolo (Επιμελητής έκδοσης), Müller, Jörg P. (Επιμελητής έκδοσης), Odell, James (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2004.
Σειρά:Lecture Notes in Computer Science, 2935
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Modeling Agents and Multiagent Systems
  • Using UML in the Context of Agent-Oriented Software Engineering: State of the Art
  • Towards a Recursive Agent Oriented Methodology for Large-Scale MAS
  • Agent-Oriented Modeling by Interleaving Formal and Informal Specification
  • The ROADMAP Meta-model for Intelligent Adaptive Multi-agent Systems in Open Environments
  • Modeling Deployment and Mobility Issues in Multiagent Systems Using AUML
  • Methodologies and Tools
  • A Knowledge-Based Methodology for Designing Reliable Multi-agent Systems
  • A Framework for Constructing Multi-agent Applications and Training Intelligent Agents
  • Activity Theory for the Analysis and Design of Multi-agent Systems
  • A Design Taxonomy of Multi-agent Interactions
  • Automatic Derivation of Agent Interaction Model from Generic Interaction Protocols
  • Patterns, Architectures, and Reuse
  • Building Blocks for Agent Design
  • Supporting FIPA Interoperability for Legacy Multi-agent Systems
  • Dynamic Multi-agent Architecture Using Conversational Role Delegation
  • Roles and Organizations
  • Temporal Aspects of Dynamic Role Assignment
  • From Agents to Organizations: An Organizational View of Multi-agent Systems
  • Modelling Multi-agent Systems with Soft Genes, Roles, and Agents.