Argumentation-Based Agent Interaction in an Ambient-Intelligence Context

A multiagent system uses argumentation-based interaction in an ambient-intelligence context to provide services for people with different combinations of impairments. This paper focuses on ambient intelligence system of agents for knowledge-based and integrated services for mobility-impaired users integrated projectpsilas (ASK-ITIP) furthered the challenge by aiming to support users having different types and combinations of impairments. ASK-ITIP use of argumentation to model a distributed decision-making process for a coalition of assistant agents, each an expert on a different impairment. When a user suffers from a combination of impairments, these agents engage in an argumentation-based dialogue to agree on the user´s needs. We found that applying argumentation was natural in this context because, generally speaking, we can abstractly define argumentation as the principled interaction of different, potentially conflicting arguments to obtain a consistent conclusion. Moreover, argumentation-based interaction is combined with a standardized interaction type based on the foundation for intelligent physical agents interaction protocol.