Relevance: communication and cognition
Relevance: communication and cognition
Semantics and complexity of abduction from default theories
Artificial Intelligence
A logic-based theory of deductive arguments
Artificial Intelligence
Representing Epistemic Uncertainty by Means of Dialectical Argumentation
Annals of Mathematics and Artificial Intelligence
A Reasoning Model Based on the Production of Acceptable Arguments
Annals of Mathematics and Artificial Intelligence
Dialogues for Negotiation: Agent Varieties and Dialogue Sequences
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Defeasible logic programming: an argumentative approach
Theory and Practice of Logic Programming
Modular Representation of Agent Interaction Rules through Argumentation
Autonomous Agents and Multi-Agent Systems
Dialectic proof procedures for assumption-based, admissible argumentation
Artificial Intelligence
Coherence and Flexibility in Dialogue Games for Argumentation
Journal of Logic and Computation
On the relevance of utterances in formal inter-agent dialogues
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A generative inquiry dialogue system
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
STRATUM: A METHODOLOGY FOR DESIGNING HEURISTIC AGENT NEGOTIATION STRATEGIES
Applied Artificial Intelligence
Real arguments are approximate arguments
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Autonomous Agents and Multi-Agent Systems
Handling enthymemes in time-limited persuasion dialogs
SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management
Strategic argumentation in rigorous persuasion dialogue
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
DebateWEL: an interface for debating with enthymemes and logical formulas
JELIA'12 Proceedings of the 13th European conference on Logics in Artificial Intelligence
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A common assumption for logic-based argumentation is that an argument is a pair (Φ, α) where Φ is a minimal subset of the knowledgebase such that Φ is consistent and Φ entails the claim α. However, real arguments (i.e. arguments presented by humans) usually do not have enough explicitly presented premises for the entailment of the claim (i.e. they are enthymemes). This is because there is some common knowledge that can be assumed by a proponent of an argument and the recipient of it. This allows the proponent of an argument to encode an argument into a real argument by ignoring the common knowledge, and it allows a recipient of a real argument to decode it into the intended argument by drawing on the common knowledge. If both the proponent and recipient use the same common knowledge, then this process is straightforward. Unfortunately, this is not always the case, and this raises interesting issues for dialogue systems in which the recipient has to cope with the disparities between the different views on what constitutes common knowledge. Here we investigate the use of enthymemes in inquiry dialogues. For this, we propose a generative inquiry dialogue system and show how, in this dialogue system, enthymemes can be managed by the agents involved, and how common knowledge can evolve through dialogue.