Abstract
We conduct comparative analysis of two sources of argumentation-related information to assess validity of scenarios of interaction between agents. The first source is an overall structure of a scenario, which included communicative actions in addition to attack relations and is learned from previous experience of multi-agent interactions. In our earlier studies we proposed a concept-based learning technique for this source. Scenarios are represented by directed graphs with labeled vertices (for communicative actions) and arcs (for temporal and attack relations). The second source is a traditional machinery to handle argumentative structure of a dialogue, assessing the validity of individual claims. We build a system where data for both sources are visually specified, to assess a validity of customer complaints. Evaluation of contribution of each source shows that both sources of argumentation-related information are essential for assessment of multi-agent scenarios. We conclude that concept learning of scenario structure should be augmented by defeasibility analysis of individual claims to successfully reason about scenario truthfulness.
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Galitsky, B.A., Kuznetsov, S.O. (2008). Scenario Argument Structure vs Individual Claim Defeasibility: What Is More Important for Validity Assessment?. In: Eklund, P., Haemmerlé, O. (eds) Conceptual Structures: Knowledge Visualization and Reasoning. ICCS 2008. Lecture Notes in Computer Science(), vol 5113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70596-3_20
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DOI: https://doi.org/10.1007/978-3-540-70596-3_20
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