A logic for uncertain probabilities
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Argumentation Machines: New Frontiers in Argument and Computation
Argumentation Machines: New Frontiers in Argument and Computation
Towards a formal account of reasoning about evidence: argumentation schemes and generalisations
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A study of accrual of arguments, with applications to evidential reasoning
ICAIL '05 Proceedings of the 10th international conference on Artificial intelligence and law
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Conditional deduction under uncertainty
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Argumentation in artificial intelligence
Artificial Intelligence
Managing Sensors and Information Sources Using Semantic Matchmaking and Argumentation
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Combining statistics and arguments to compute trust
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ArgMAS'11 Proceedings of the 8th international conference on Argumentation in Multi-Agent Systems
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This paper introduces a subjective logic based argumentation framework primarily targeted at evidential reasoning. The framework explicitly caters for argument schemes, accrual of arguments, and burden of proof; these concepts appear in many types of argument, and are particularly useful in dialogues revolving around evidential reasoning. The concept of a sensor is also useful in this domain, representing a source of evidence, and is incorporated in our framework. We show how the framework copes with a number of problems that existing frameworks have difficulty dealing with, and how it can be situated within a simple dialogue game. Finally, we examine reasoning machinery that enables an agent to decide what argument to advance with the goal of maximising its utility at the end of a dialogue.