TAILIEUCHUNG - Architecture for Agent Programming Languages

In this paper, we address this issue in providing just such an architectural framework by using the 3APL agent programming language as a starting point for identification and specification of more general individual agent components. This provides three additional benefits: it moves the work further down the road of implementation, contributes to a growing library of agent techniques and features, and allows a detailed comparison of different agent-based systems specified in similar ways. | Architecture for Agent Programming Languages Koen Hindriks1 and Mark d Inverno2 and Michael Luck3 Abstract. As the field of agent-based systems continues to expand rapidly one of the most significant problems lies in being able to compare and evaluate the relative benefits and disadvantages of different systems. In part this is due to the various different ways in which these systems are presented. One solution is to develop a set of architectural building blocks that can be used as a basis for further construction to avoid re-inventing wheels and to ensure a strong and effective yet simple and accessible means of presentation that allows for comparison and analysis of agent systems. In this paper we address this issue in providing just such an architectural framework by using the 3APL agent programming language as a starting point for identification and specification of more general individual agent components. This provides three additional benefits it moves the work further down the road of implementation contributes to a growing library of agent techniques and features and allows a detailed comparison of different agent-based systems specified in similar ways. 1 Introduction Among the most significant of the problems that face the dynamic and rapidly-expanding field of agent-based systems is the drawing together of disparate strands of work ostensibly aimed at addressing the same issues. Indeed the plethora of different agent theories languages and architectures that have been proposed and developed in recent years highlights this particular problem. The so what reaction is one that is undeserved by many of the efforts that receive it but is in part understandable. We argue that there are two key related reasons for this first it can be extremely difficult to compare and evaluate the relative benefits and disadvantages of different agentbased systems as a result of the different approaches taken to realise them second the focus on theories architectures and .

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