A Persuasion Dialog for Gaining Access to Information

Perrussel, Laurent; Doutre, Sylvie; Thévenin, Jean-Marc; McBurney, Peter

doi:10.1007/978-3-540-78915-4_5

Cited by 10 publications

(8 citation statements)

References 15 publications

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“…With new appropriate formulas for the argument system and semantics, the formalization of [6] is general enough to transpose well to this extension. Our new framework allows us to easily model the evolution of the argument graph during dialogue, as shown with the example of [14]. It is interesting to note that while we focused on the stable semantics, any semantics that can be described by a logical formula can be encoded in our framework.…”

Section: Resultsmentioning

confidence: 99%

“…In this example taken from [14], an agent, called the client (here, Brussels agent), wants to access some information. He engages a dialogue with the agent controlling it-the server (London agent)-in order to convince him to grant authorization to access this information.…”

Section: Our Running Examplementioning

confidence: 99%

“…In this setting, he accepts to provide the information as argument a 6 , which directly supports the permission, belongs to at least one extension (following the principle of trustfulness of [14]). …”

Section: Updating the Argument System Throughout The Dialoguementioning

confidence: 99%

“…The formulas that describe the argument system and the semantics are modified to take into account this new notion of enabled arguments. We illustrate our contribution with an example from [14], in which the authors present a protocol for agents engaging in an argued dialogue to access some information.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Dynamic Logic Framework for Abstract Argumentation: Adding and Removing Arguments

Doutre

Maffre

McBurney

2017

Advances in Artificial Intelligence: From Theory to Practice

Self Cite

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract. A dynamic framework, based on the Dynamic Logic of Propositional Assignments (DL-PA), has recently been proposed for Dung's abstract argument system. This framework allows the addition and the removal of attacks, and the modification of the acceptance status of arguments. We here extend this framework in order to capture the addition and the removal of arguments. We then apply the framework on an access control case, where an agent engages in an argued dialogue to access some information controlled by another agent.

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Section: Resultsmentioning

confidence: 99%

Section: Our Running Examplementioning

confidence: 99%

Section: Updating the Argument System Throughout The Dialoguementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Dynamic Logic Framework for Abstract Argumentation: Adding and Removing Arguments

Doutre

Maffre

McBurney

2017

Advances in Artificial Intelligence: From Theory to Practice

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“…The research on the use of argumentation to model agent interactions is a very active field, including argumentation-based negotiation approaches [3,26,27,36], persuasion [6,12,32,33], general dialogue formalizations [17], strategic argumentation [12,43,44], among others. In our proposal, agents will be equipped with the structured argumentation reasoning mechanism of DeLP (Defeasible Logic Programming) [22].…”

Section: Introductionmentioning

confidence: 99%

Acquiring knowledge from expert agents in a structured argumentation setting

Agis

Gottifredi

García

2019

AAC

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Information-seeking interactions in multi-agent systems are required for situations in which there exists an expert agent that has vast knowledge about some topic, and there are other agents (questioners or clients) that lack and need information regarding that topic. In this work, we propose a strategy for automatic knowledge acquisition in an information-seeking setting in which agents use a structured argumentation formalism for knowledge representation and reasoning. In our approach, the client conceives the other agent as an expert in a particular domain and is committed to believe in the expert's qualified opinion about a given query. The client's goal is to ask questions and acquire knowledge until it is able to conclude the same as the expert about the initial query. On the other hand, the expert's goal is to provide just the necessary information to help the client understand its opinion. Since the client could have previous knowledge in conflict with the information acquired from the expert agent, and given that its goal is to accept the expert's position, the client may need to adapt its previous knowledge. The operational semantics for the client-expert interaction will be defined in terms of a transition system. This semantics will be used to formally prove that, once the client-expert interaction finishes, the client will have the same assessment the expert has about the performed query.

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Dialogue Games for Agent Argumentation

McBurney

Parsons

2009

Argumentation in Artificial Intelligence

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A Persuasion Dialog for Gaining Access to Information

Cited by 10 publications

References 15 publications

A Dynamic Logic Framework for Abstract Argumentation: Adding and Removing Arguments

A Dynamic Logic Framework for Abstract Argumentation: Adding and Removing Arguments

Acquiring knowledge from expert agents in a structured argumentation setting

Dialogue Games for Agent Argumentation

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