Agent-Oriented Information Systems II [electronic resource] : 6th International Bi-Conference Workshop, AOIS 2004, Riga, Latvia, June 8, 2004 and New York, NY, USA, July 20, 2004, Revised Selected Papers /
AOIS 2004(2004 :Rīga, Latvia and New York, N.Y.)
Bresciani, Paolo.editor.
Giorgini, Paolo.editor.(orcid)0000-0003-4152-9683https://orcid.org/0000-0003-4152-9683edt
Henderson-Sellers, Brian.editor.
Low, Graham.editor.
Winikoff, Michael.editor.
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 - everyday work, communication, information gathering and decision-making. Yet, the inflexibilities 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 flexible, robust and responsive to rapid and unexpected change. Agent concepts hold great promise for responding to the new realities of - formation systems. They offer higher-level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties, perception, commitments, goals, beliefs, intentions, etc., all of which need conceptual 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 flows, brokering and integration of disparate information sources, and automated communication processes. On the other hand, their rich representational capabilities allow for more faithful and reliable treatments of complex organizational processes, leading to more effective requirements analysis and architectural/detailed design.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
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 Foundational 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.
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 - everyday work, communication, information gathering and decision-making. Yet, the inflexibilities 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 flexible, robust and responsive to rapid and unexpected change. Agent concepts hold great promise for responding to the new realities of - formation systems. They offer higher-level abstractions and mechanisms which address issues such as knowledge representation and reasoning, communication, coordination, cooperation among heterogeneous and autonomous parties, perception, commitments, goals, beliefs, intentions, etc., all of which need conceptual 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 flows, brokering and integration of disparate information sources, and automated communication processes. On the other hand, their rich representational capabilities allow for more faithful and reliable treatments of complex organizational processes, leading to more effective requirements analysis and architectural/detailed design.
Artificial intelligence.
Computer communication systems.
Information storage and retrieval.
Application software.
User interfaces (Computer systems).
Artificial Intelligence.
Computer Communication Networks.
Information Storage and Retrieval.
Information Systems Applications (incl. Internet).
User Interfaces and Human Computer Interaction.


Lecture Notes in Computer Science