Justificatory and Explanatory Argumentation for Committing Agents
This addresses the need for more transparent and accountable agent interactions in AI, though it appears incremental as it builds on existing concepts like social commitments and logic-based formalisms.
The paper tackled the problem of enabling agents to justify and explain their actions in interactions by developing a Justification and Explanation Logic (JEL) that formalizes these patterns using social commitments, resulting in a framework that covers both justification for commitments and explanations due to environmental situations.
In the interaction between agents we can have an explicative discourse, when communicating preferences or intentions, and a normative discourse, when considering normative knowledge. For justifying their actions our agents are endowed with a Justification and Explanation Logic (JEL), capable to cover both the justification for their commitments and explanations why they had to act in that way, due to the current situation in the environment. Social commitments are used to formalise justificatory and explanatory patterns. The combination of ex- planation, justification, and commitments