Agent and Web Service Technologies in Virtual Enterprises by Nicolaos Protogeros

By Nicolaos Protogeros

Examine on new applied sciences for the digital firm operation has spread out new principles at the layout ideas and operation ways to be able to maximize merits and triumph over boundaries encountered. Agent and internet carrier applied sciences in digital agencies offers a accomplished evaluate of the latest advances in agent and net carrier applied sciences, integrating the newest contributions aiding formation, integration, collaboration, and operation in digital firms. This optimal Reference resource permits libraries to supply researchers with a deep and thorough figuring out of the advantages and concerns surrounding brokers and net provider applied sciences, and useful insights from examples of functions of those applied sciences all through a number of facets of the digital firm lifestyles cycle.

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To exchange data or information) (Chira, 2003; Nwana, 1996). Information/internet agents: They are designed to manage, manipulate or collate the vast amount of information available from many distributed sources (information explosion) (Chira, 2003; Nwana, 1996). These Software Agent Technology 5. 6. 7. agents “have varying characteristics: they may be static or mobile; they may be noncooperative or social; and they may or may not learn” (Chira, 2003; Nwana, 1996). Reactive agents: They act/respond to the current state of their environment based on a stimulus-response scheme (Chira, 2003; Nwana, 1996).

4. 5. 6. AGENT-0, PLACA and AGENT-K: AGENT-0 realizes the basic ideas of the agent-oriented programming paradigm as formulated by Shoham (Weίβ, 2002). A language that extends AGENT-0 toward planning is PLACA, and a language that aims at integrating AGENT-0 and KQML is AGENT-K (Weίβ, 2002). Concurrent MetateM: It allows specifying the intended behavior of an agent based on temporal logics (Weίβ, 2002). AgentSpeak (L): It is a rule-based language that has a formal operational semantics and that assumes agents to consist of intentions, beliefs, recorded events, and plan rules (Weίβ, 2002).

Researchers also have tried to assemble methodologies by combining features from different methodologies (Agent-Oriented Software Engineering). Yet other researchers have produced methodologies based on both agent and object technologies (Agent-Oriented Software Engineering). Methodologies having as background the agent and multi-agent technology are characterized by a clear focus on capturing social-level abstractions such as agent, group, or organization, that is, on abstractions that are above the conventional object level (Weiβ, 2002).

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