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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 /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Artificial Intelligence ; 3508Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005Description: X, 230 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540319467
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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