Agent-Oriented Information Systems II 6th International Bi-Conference Workshop, AOIS 2004, Riga, Latvia, June 8, 2004, and New York, NY, USA, July 20, 2004, Revised Selected Papers /

Information systems have become the backbone of all kinds of organizations - day. In almost every sector – manufacturing, education, health care, government and businesses large and small – information systems are relied upon for - eryday work, communication, information gathering and decision-makin...

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Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Bresciani, Paolo (Επιμελητής έκδοσης), Giorgini, Paolo (Επιμελητής έκδοσης), Henderson-Sellers, Brian (Επιμελητής έκδοσης), Low, Graham (Επιμελητής έκδοσης), Winikoff, Michael (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
Σειρά:Lecture Notes in Computer Science, 3508
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Information Systems
  • An Agent-Based Collaborative Emergent Process Management System
  • Mobeet: A Multi-agent Framework for Ubiquitous Information Systems
  • The Analysis of Coordination in an Information System Application – Emergency Medical Services
  • Market-Based Recommender Systems: Learning Users’ Interests by Quality Classification
  • Analysis and Modeling
  • SNet Reloaded: Roles, Monitoring and Agent Evolution
  • Analyzing Multiparty Agreements with Commitments
  • Fact-Orientation Meets Agent-Orientation
  • Towards Ontological Foundations for Agent Modelling Concepts Using the Unified Fundational Ontology (UFO)
  • Methodologies
  • AgentZ: Extending Object-Z for Multi-agent Systems Specification
  • Incorporating Elements from the Prometheus Agent-Oriented Methodology in the OPEN Process Framework
  • A Preliminary Comparative Feature Analysis of Multi-agent Systems Development Methodologies
  • Applications
  • CMRadar: A Personal Assistant Agent for Calendar Management
  • Agents as Catalysts for Mobile Computing
  • A Systematic Approach for Including Machine Learning in Multi-agent Systems
  • Agents to Foster Conscious Design and Reuse in Architecture.