By Nicolaos Protogeros
Examine on new applied sciences for the digital company operation has spread out new rules at the layout rules and operation techniques in an effort to maximize advantages and conquer boundaries encountered. Agent and net provider applied sciences in digital organisations offers a finished overview of the newest advances in agent and net provider applied sciences, integrating the latest contributions assisting formation, integration, collaboration, and operation in digital organizations. This prime Reference resource allows libraries to supply researchers with a deep and thorough realizing of the advantages and concerns surrounding brokers and net carrier applied sciences, and functional insights from examples of functions of those applied sciences all through a variety of facets of the digital firm existence cycle.
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Extra resources for Agent and Web Service Technologies in Virtual Enterprises (Premier Reference Source)
Next, we enumerate and describe the above mentioned prototype languages: a typology. Next, we present the above-mentioned classification (Nwana & Wooldridge, 1996): 1. 3. 2. 3. 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).
The two most important approaches are communication using communication protocols, and communication using an evolving language (Bussink, 2004). Both techniques have their advantages and disadvantages (Bussink, 2004). In industrial applications communication protocols will be the best practice, but in systems where homogeneous agents can work together language evolution is a good option (Bussink, 2004). The basis for language evolution is in human communication (Bussink, 2004). The agent languages consist of grammars and vocabularies, just like any human language (Bussink, 2004).
1999). A taxonomy for comparing distributed objects technologies. CLEI Electronic Journal, 2(2). Bradshow, J. M. (1997). An introduction to software agents. In J. M. ), Software agents. Cambridge: MIT Press. Bussink, D. (2004). A comparison of language evolution and communication protocols in multiagent systems. In Proceedings of the 1st Twente Student Conference on IT, Track C—Intelligent_Interaction. nl/ Camarinha-Matos, L. M. (2002). Multi-agent systems in virtual enterprises. In Proceedings of AIS2002—International Conference on AI, Simulation and Planning in High Autonomy Systems, Lisbon, Portugal (pp.
Agent and Web Service Technologies in Virtual Enterprises (Premier Reference Source) by Nicolaos Protogeros
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