agentorientedprogramming(AOP)([2]) is a special kind of object-orientedprogramming. It can be worked out best for open systems and has the potentials to become a very attractive technique in the future. In this pap...
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ISBN:
(纸本)0818684321
agentorientedprogramming(AOP)([2]) is a special kind of object-orientedprogramming. It can be worked out best for open systems and has the potentials to become a very attractive technique in the future. In this paper, we describe a specification and programminglanguage-SPLAW. The syntax and operational semantics of SPLAW are presented, and by means of labeled transition system, the proof theory is also provided. SPLAW is based on KQML, the standard infer-agent communication language, which makes it possible for agents written in SPLAW to interoperate with of her agents obeying KQML.
Argumentation-based reasoning plays an important role in agent reasoning and communication, yet little research has been carried out on the issues in integrating argumentation techniques into practical multi-agent pla...
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ISBN:
(纸本)9781509035663
Argumentation-based reasoning plays an important role in agent reasoning and communication, yet little research has been carried out on the issues in integrating argumentation techniques into practical multi-agent platforms and the various sources of information in such systems. In this work, we extend an argumentation-based reasoning mechanism to take into account preferences over arguments supporting contrary conclusions, which in practice means the agent will be able to act more informedly, being able to decide on beliefs about which it would be otherwise ambivalent. Such preferences come from elements that are present or can be more easily obtained in the context of practical multi-agentprogramming platforms, such as multiple sources from which the information ( used to construct the arguments) was acquired, as well as varying degrees of trust on them. Further, we introduce different agent profiles by varying the way certain operators are applied over the various information sources leading to the preferences over competing arguments in our approach. Unlike previous approaches, our approach accounts for multiple sources for a single piece of information and is based on an argumentation-based reasoning mechanism implemented on a multi-agent platform so arguably more computationally grounded than those approaches.
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