In a social context, people have only partial knowledge about the world and use arguments in order to solve problems, to reduce conflicts, or to exchange information. Argumentation is a dialogic process, and could occur through direct interaction, or through supports of some sorts?like blackboards, or electronic fora. The same holds for intelligent agents in a multi-agent system (MAS); here, however, it is not clear what could act as a support for argumentation between agents, external to the agents themselves. To this end, this work exploits the agents and artifacts (A&A) meta-model for MAS, exploring the use of artifacts for agent argumentation within a MAS. Along this line, the rst aim of this work is to design an argumentation component...
Multi-agent systems (MAS) offer an approach to solve complex problems where data and control are inh...
Abstract. Many works have identified the potential benefits of using argumentation in multiagent set...
Case-Based Reasoning (CBR) can give agents the capability of learning from their own experience and ...
In a social context, people have only partial knowledge about the world and use arguments in order t...
In a social context, people have a partial knowledge about the world and use arguments in order to s...
Multiagent systems are suitable for providing a framework that allows agents to perform collaborativ...
Intelligent and autonomous software agents may engage in dialogue and argument with one another, and...
Intelligent and autonomous software agents may engage in dialog and argument with one another, and m...
Starting from the idea that the social context of agents determines the way in which agents can arg...
In this work, we propose an infrastructure to develop and execute argumentative agents in an open m...
The role of argumentation theory in supporting various forms of interaction among autonomous agents ...
We discuss the problem of cooperative argumentation in multi-agent systems, focusing on the compu- t...
www.soi.city.ac.uk/homes/msch Abstract. Argumentation is important for agent negotiation. In this pa...
Many works have identified the potential benefits of using argumentation in multiagent settings, as ...
Abstract—Argumentation, initially studied in philosophy and law, has been researched extensively in ...
Multi-agent systems (MAS) offer an approach to solve complex problems where data and control are inh...
Abstract. Many works have identified the potential benefits of using argumentation in multiagent set...
Case-Based Reasoning (CBR) can give agents the capability of learning from their own experience and ...
In a social context, people have only partial knowledge about the world and use arguments in order t...
In a social context, people have a partial knowledge about the world and use arguments in order to s...
Multiagent systems are suitable for providing a framework that allows agents to perform collaborativ...
Intelligent and autonomous software agents may engage in dialogue and argument with one another, and...
Intelligent and autonomous software agents may engage in dialog and argument with one another, and m...
Starting from the idea that the social context of agents determines the way in which agents can arg...
In this work, we propose an infrastructure to develop and execute argumentative agents in an open m...
The role of argumentation theory in supporting various forms of interaction among autonomous agents ...
We discuss the problem of cooperative argumentation in multi-agent systems, focusing on the compu- t...
www.soi.city.ac.uk/homes/msch Abstract. Argumentation is important for agent negotiation. In this pa...
Many works have identified the potential benefits of using argumentation in multiagent settings, as ...
Abstract—Argumentation, initially studied in philosophy and law, has been researched extensively in ...
Multi-agent systems (MAS) offer an approach to solve complex problems where data and control are inh...
Abstract. Many works have identified the potential benefits of using argumentation in multiagent set...
Case-Based Reasoning (CBR) can give agents the capability of learning from their own experience and ...