Dialogue games that agents play within a society

Karunatillake, Nishan C.; Jennings, Nicholas R.; Rahwan, Iyad; McBurney, Peter

doi:10.1016/j.artint.2009.02.002

Cited by 36 publications

(24 citation statements)

References 54 publications

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“…Recent research presents a novel argumentation-based negotiation framework that allows agents to detect, manage and resolve conflicts related to their social influences in a distributed manner within a structured agent society [25,26]. This work proposes a new argumentation scheme that captures how agents reason about influences within a structured society, a mechanism to use this scheme to identify a suitable set of social arguments, a language and a protocol to exchange these arguments and a decision making functionality to generate such dialogues.…”

Section: Discussionmentioning

confidence: 99%

On a Computational Argumentation Framework for Agent Societies

Heras

Botti

Juli

2011

Lecture Notes in Computer Science

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Section: Discussionmentioning

confidence: 99%

On a Computational Argumentation Framework for Agent Societies

Heras

Botti

Juli

2011

Lecture Notes in Computer Science

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“…In both Karunatillake et al [3] and Paquier et al [8] argumentation-based negotiation is studied. While the focus of the systems is different (social agent societies and exploring the negotiation space respectively) the argumentative parts of agents are modelled alike.…”

Section: Existing Workmentioning

confidence: 99%

A Methodology for the Generation of Multi-agent Argumentation Dialogue Scenarios

Kok

Meyer

Oostendorp

et al. 2012

Multi-Agent Systems

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Abstract. Increasingly research into the uses of argumentation in multiagent dialogues takes an experimental approach. Such studies explore how agents can successfully employ argumentation besides the best and worst case situations of formal analysis. While a vital part in these experiments is influenced by the scenarios from which dialogues are generated, there is very little research on how these can be generated in a meaningful way, respecting the characteristics of the underlying dialogue problem. This paper proposes, by means of an example system for deliberation dialogues, a methodology for the construction and evaluation of a scenario generation process. It is shown how scenarios can accomodate argumentation with structured arguments and how it is tested whether the generated scenarios are interesting for experimentation.

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“…(Karunatillake et al 2009) present a framework allowing agents to argue, negotiate, and resolve conflicts relating to their social influences within a multiagent society. Their framework can be used to devise a series of concrete al-gorithms that give agents a set of argumentation-generation strategies to argue and resolve conflicts in a multi-agent task allocation scenario, especially when the social structure is complicated to analyze in other ways.…”

Section: Persuasion For Conflict Resolutionmentioning

confidence: 99%

Agent Reasoning in Negotiation

Sycara

Dai

2010

Advances in Group Decision and Negotiation

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Negotiation has been studied in different communities both scientific and communities of practice. The social sciences and the mathematical sciences have investigated different aspects of negotiation with different goals: the goals of the social sciences are to understand the factors and reasoning processes that underlie human negotiation behavior. The goal of the mathematical sciences is to formulate mathematical models that capture elements of negotiation. Further, the mathematical models can be divided into analytic models (economic, operations research etc) and computational models. The aim of the analytic models is to provide guarantees of their behavior, characterizations of optimality, or provide managerial guidance to optimize negotiation activity. The computational models aim to provide computational tractability through approximation algorithms and heuristics. Most crucially, the computational research aims to have the models implemented in autonomous processes, called agents, that are able to incorporate realistic factors of negotiation (e.g. argumentation, information seeking, and cognitive factors) and engage in negotiations in a decentralized manner. Such agent models promise to contribute to our understanding of human information processing in negotiation. Additionally, they could be used for decision support of human decision makers. In the long run, such models can even become substitutes for human negotiators. In this chapter we will provide a selective review of the most important works in the analytic and computational negotiation literature, point out some differences and synergies and provide pointers to open questions and future research.

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Dialogue games that agents play within a society

Cited by 36 publications

References 54 publications

On a Computational Argumentation Framework for Agent Societies

On a Computational Argumentation Framework for Agent Societies

A Methodology for the Generation of Multi-agent Argumentation Dialogue Scenarios

Agent Reasoning in Negotiation

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