Agent-Oriented Information Systems II

1. Front Matter

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2. Information Systems

   1. An Agent-Based Collaborative Emergent Process Management System

      • Aizhong Lin, Igor Hawryszkiewycz, Brian Henderson-Sellers

      Pages 1-18

   2. Mobeet: A Multi-agent Framework for Ubiquitous Information Systems

      • Nobukazu Yoshioka, Akihiko Ohsuga, Shinichi Honiden

      Pages 19-35

   3. The Analysis of Coordination in an Information System Application – Emergency Medical Services

      • Wei Chen, Keith S. Decker

      Pages 36-51

   4. Market-Based Recommender Systems: Learning Users’ Interests by Quality Classification

      • Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings

      Pages 52-67

3. Analysis and Modeling

   1. SNet Reloaded: Roles, Monitoring and Agent Evolution

      • Günter Gans, Dominik Schmitz, Thomas Arzdorf, Matthias Jarke, Gerhard Lakemeyer

      Pages 68-84

   2. Analyzing Multiparty Agreements with Commitments

      • Feng Wan, Munindar P. Singh

      Pages 85-96

   3. Fact-Orientation Meets Agent-Orientation

      • Terry Halpin

      Pages 97-109

   4. Towards Ontological Foundations for Agent Modelling Concepts Using the Unified Fundational Ontology (UFO)

      • Giancarlo Guizzardi, Gerd Wagner

      Pages 110-124

4. Methodologies

   1. AgentZ: Extending Object-Z for Multi-agent Systems Specification

      • Anarosa A. F. Brandão, Paulo Alencar, Carlos J. P. de Lucena

      Pages 125-139

   2. Incorporating Elements from the Prometheus Agent-Oriented Methodology in the OPEN Process Framework

      • Brian Henderson-Sellers, Quynh-Nhu N. Tran, John Debenham

      Pages 140-156

   3. A Preliminary Comparative Feature Analysis of Multi-agent Systems Development Methodologies

      • Quynh-Nhu Numi Tran, Graham Low, Mary-Anne Williams

      Pages 157-168

5. Applications

   1. CMRadar: A Personal Assistant Agent for Calendar Management

      • Pragnesh Jay Modi, Manuela Veloso, Stephen F. Smith, Jean Oh

      Pages 169-181

   2. Agents as Catalysts for Mobile Computing

      • G. M. P. O’Hare, M. J. O’Grady, R. W. Collier, S. Keegan

      Pages 182-197

   3. A Systematic Approach for Including Machine Learning in Multi-agent Systems

      • José A. R. P. Sardinha, Alessandro Garcia, Carlos J. P. Lucena, Ruy L. Milidiú

      Pages 198-211

   4. Agents to Foster Conscious Design and Reuse in Architecture

      • Daniel Pinho, Adriana S. Vivacqua, Sérgio Palma, Jano M. de Souza

      Pages 212-226

6. Back Matter

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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-making. Yet, the in?exibilities in current technologies and methods have also resulted in poor performance, incompatibilities and obstacles to change. As many organizations are reinventing themselves to meet the challenges of global competition and e-commerce, there is increasing pressure to develop and deploy new technologies that are ?exible, robust and responsive to rapid and unexpected change. Agent concepts hold great promise for responding to the new realities of - formation systems. They o?er higher-level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties, p- ception, commitments, goals, beliefs, intentions, etc., all of which need conc- tual modelling. On the one hand, the concrete implementation of these concepts can lead to advanced functionalities, e.g., in inference-based query answering, transaction control, adaptive work ?ows, brokering and integration of disparate information sources, and automated communication processes. On the other hand, their rich representational capabilities allow for more faithful and ?- ible treatments of complex organizational processes, leading to more e?ective requirements analysis and architectural/detailed design.

• Monitor
• agent-based information systems
• agent-based modeling
• agent-oriented information systems
• architecture
• classification
• information agents
• learning
• machine learning
• mobile computing
• multi-agent system
• multi-agent systems
• ontology
• recommender system
• recommender systems

• DG Information Society and Media, Unit D3: Software Technologies, European Commission, Brussels, Belgium

  Paolo Bresciani

• DISI, University of Trento, Povo, Trento, Italy

  Paolo Giorgini

• Faculty of Information Technology, University of Technology, Sydney, Broadway, Australia

  Brian Henderson-Sellers

• School of Information Management and Technology Management, University of New South Wales, Australia

  Graham Low

• Higher Education Development Centre, University of Otago, Dunedin, New Zealand

  Michael Winikoff

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