By Nicolaos Protogeros
Study on new applied sciences for the digital company operation has unfolded new principles at the layout ideas and operation methods with a purpose to maximize merits and conquer barriers encountered. Agent and net provider applied sciences in digital firms offers a entire evaluate of the latest advances in agent and internet carrier applied sciences, integrating the latest contributions aiding formation, integration, collaboration, and operation in digital businesses. This most suitable Reference resource allows libraries to supply researchers with a deep and thorough figuring out of the advantages and concerns surrounding brokers and net carrier applied sciences, and sensible insights from examples of purposes of those applied sciences all through numerous points of the digital company lifestyles cycle.
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Extra resources for Agent and Web Service Technologies in Virtual Enterprises (Premier Reference Source)
To continue, we enumerate and give a short description of each class: 1. 2. 3. 4. Logic based agents: In which decisionmaking is realized through logical deduction (Wooldridge, 1999). Reactive agents: In which decision-making is implemented in some form of direct mapping from situation to action (Wooldridge, 1999). Belief-desire-intention (BDI) agents: In which decision-making depends upon the manipulation of data structures representing the beliefs, desires, and intentions of the agent (Wooldridge, 1999).
They introduce three symmetric, negotiation free one-step protocols to carry out a sequence of decisions for agents with possibly conflicting interests. The protocols achieve substantially better overall benefit than random or hostile selection, and they avoid lies (Fankhauser & Tesch, 1999). They analyze the protocols with respect to informed vs. uninformed lies, and with respect to beneficial vs. malevolent lies, and show that agents are best off to know and announce their true interests. Gong and Wang’s (2000) research is a contribution to the model of multi-agent system (MAS) for supporting the dynamic enterprise model (DEM).
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). Some researchers even do research in the area of language evolution using agents in order to get more understanding of how human communication has evolved (Bussink, 2004).
Agent and Web Service Technologies in Virtual Enterprises (Premier Reference Source) by Nicolaos Protogeros