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Agent oriented enterprise modeling based on business rules - Taveter, Wagner.pdf

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Agent oriented enterprise modeling based on business rules - Taveter, Wagner.pdf

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Agent oriented enterprise modeling based on business rules - Taveter, Wagner.pdf

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文档介绍:Agent-Oriented Enterprise Modeling
Based on Business Rules?
Kuldar Taveter1 and Gerd Wagner2
1 VTT Information Technology (Technical Research Centre of Finland),
1201, FIN-02044 VTT, Finland,
kuldar.******@
2 Eindhoven University of Technology, Faculty of Technology Management,
. Box 513, 5600 MB Eindhoven, herlands,
G.******@
e: http://tmit/staff/gwagner
Abstract. Business rules are statements that express (certain parts of)
a business policy, defining business terms and defining or constraining
the operations of an enterprise, in a declarative manner. Since these
rules define and constrain the interaction among business agents in the
course of business processes, they have to refer to ponents of their
mental state, such as the knowledge/information and mitments
of anization. We propose an agent-oriented approach to business
rules and show how to represent and visualize business rules and business
processes in Agent-Object-Relationship modeling.
1 Introduction
Agent-Orientation is emerging as a new paradigm in software and information
systems engineering. It offers a range of high-level abstractions that facilitate
the conceptual and technical integration munication and interaction with
established information system technology. Agent-Orientation is highly signifi-
cant for business information systems since business processes are driven by and
directed towards agents (or actors), and hence have ply with the physical
and social dynamics of interacting individuals and institutions.
While today’s enterprise information system technology is largely based on
the metaphors of data management and data flow, and is under pressure to adopt
concepts and techniques from the highly essful object-oriented programming
paradigm, Agent-Orientation emphasizes the fundamental role of actors/agents1
and their mental state, and munication and interaction, for analyzing and
anizations anizational information syste