A constrained argumentation system for practical reasoning
نویسندگان
چکیده
Practical reasoning (PR), which is concerned with the generic question of what to do, is generally seen as a two steps process: (1) deliberation, in which an agent decides what state of affairs it wants to reach –that is, its desires; and (2) means-ends reasoning, in which the agent looks for plans for achieving these desires. A desire is justified if it holds in the current state of the world, and feasible if there is a plan for achieving it. The agent’s intentions are thus a consistent subset of desires that are both justified and feasible. This paper proposes the first argumentation system for PR that computes in one step the intentions of an agent, allowing thus to avoid the drawbacks of the existing systems. The proposed system is grounded on a recent work on constrained argumentation systems, and satisfies the rationality postulates identified in argumentation literature, namely the consistency and the completeness of the results.
منابع مشابه
Generating possible intentions with constrained argumentation systems
Practical reasoning (PR), which is concerned with the generic question of whatto do, is generally seen as a two steps process: (1) deliberation, in which an agentdecides what state of affairs it wants to reach –that is, its desires; and (2) means-ends reasoning, in which the agent looks for plans for achieving these desires.The agent’s intentions are a consistent set of desi...
متن کاملPractical argumentation semantics for socially efficient defeasible consequence
An abstract argumentation framework and the semantics, often called Dungean semantics, give a general framework for nonmonotonic logics. In the last fifteen years, a great number of papers in computational argumentation adopt Dungean semantics as a fundamental principle for evaluating various kinds of defeasible consequences. Recently, many papers address problems not only with theoretical reas...
متن کاملValue-based Practical Reasoning
CRRAR Surely one of the most important contributions of Trevor Bench-Capon to computer science, and especially to artificial intelligence and law, and for that matter to argumentation theory and cognitive science generally, is the model of value-based practical reasoning he has given us. He introduced value-based argumentation frameworks (VAF's) in (Bench-Capon, 2002; Bench-Capon, 2002a; Bench-...
متن کاملAn argumentation framework for learning, information exchange, and joint-deliberation in multi-agent systems
Case-Based Reasoning (CBR) can give agents the capability of learning from their own experience and solve new problems, however, in a multi-agent system, the ability of agents to collaborate is also crucial. In this paper we present an argumentation framework (AMAL) designed to provide learning agents with collaborative problem solving (joint deliberation) and information sharing capabilities (...
متن کاملLearning, Information Exchange, and Joint-Deliberation through Argumentation in Multi-agent Systems
Case-Based Reasoning (CBR) can give agents the capability of learning from their own experience and solve new problems, however, in a multi-agent system, the ability of agents to collaborate is also crucial. In this paper we present an argumentation framework (AMAL) designed to provide learning agents with collaborative problem solving (joint deliberation) and information sharing capabilities (...
متن کامل