On a Computational Argumentation Framework for Agent Societies

Heras, Stella; Botti, Vicente; Juli, Vicente

doi:10.1007/978-3-642-21940-5_8

Cited by 11 publications

(15 citation statements)

References 43 publications

(46 reference statements)

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“…The evolution is validated by the TT that receives the argument based on the case database. The scheme followed is based on the argumentation model described in [9].…”

Section: Argumentation Modelmentioning

confidence: 99%

Agreement Technologies Applied to Transmission Towers Maintenance

Chamoso

Prieta

Paz

et al. 2016

Multi-Agent Systems and Agreement Technologies

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Among the most indispensable elements required by a city is electric power and the transmission towers used for its distribution. These towers have underground electrodes which must be reviewed on a regular basis by controlling different parameters to ensure that electrical resistance is in a secure range in order to avoid problems and risks. Using artificial intelligence, it is possible to ensure proper maintenance of the towers by estimating the required values and proposing a re-duction in the size of the population sample, which will min-imize the cost of operation. The use of an intelligentagent virtual-organization based architecture is proposed within this working environment. By using mathematical estimation models and agreement based negotiations, the architecture is capable of maximizing estimations and minimizing associ-ated costs. The proposed model has been evaluated with the developed software through a real case study, which permit-ted us to validate the proposed approach.

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“…The evolution is validated by the TT that receives the argument based on the case database. The scheme followed is based on the argumentation model described in [9].…”

Section: Argumentation Modelmentioning

confidence: 99%

Agreement Technologies Applied to Transmission Towers Maintenance

Chamoso

Prieta

Paz

et al. 2016

Multi-Agent Systems and Agreement Technologies

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show abstract

“…In this section, we briefly introduce the argumentation framework that allow us to develop the case-based dialogue strategies presented in this paper (a detailed explanation can be found in [19,Chapter 3]). This framework has been implemented as an argumentation API in the Magentix2 agent platform and is publicly available at http://www.gti-ia.upv.es/sma/tools/magentix2/.…”

Section: Case-based Argumentation Frameworkmentioning

confidence: 99%

“…To illustrate part of the case-based reasoning process proposed in our framework, Algorithm 2.1 shows the pseudocode of the algorithm that implements the generation and selection of positions. The whole process to manage positions and arguments is detailed in [19,Chapter 3]. In the algorithm, the function generatePositions generates the n first positions (or all possible positions if they are less than n) by retrieving a list of past similar domain-cases and reusing their solutions (actually, the function uses the Euclidean distance to retrieve similar cases and then copies the solutions of these cases, although alternative retrieving and reusing techniques could be considered); retrieveArgumentCases is a function that retrieves for each position the list of argument-cases that represent arguments that were used to attack or support a similar position with a similar social context (again using the Euclidean distance); computeSimilarityDegree is a function that computes a degree of similarity (SimD) of each position generated with regard to the problem to solve (by using the Euclidean distance or an algorithm that computes the semantic distance between ontological concepts); computeSF, is a function that computes the support factor (SF) of each position by using the formula explained before; selectPosition is a domain-dependent function that orders the set of positions from more to less suitable with respect to some domain-dependent criteria, taking into account their similarity degree and support factor; and mostSuitable is a domain-dependent function that returns the most suitable position to solve the problem.…”

Section: Argument-casementioning

confidence: 99%

Case-based strategies for argumentation dialogues in agent societies

Heras

Jordán

Botti

2013

Information Sciences

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Case-based Strategies for Argumentation Dialogues in Agent SocietiesStella Heras, Jaume Jordán, Vicente Botti, Vicente Julián AbstractIn multi-agent systems, agents perform complex tasks that require different levels of intelligence and give rise to interactions among them. From these interactions, conflicts of opinion can arise, especially when these systems become open, with heterogeneous agents dynamically entering or leaving the system. Therefore, agents willing to participate in this type of system will be required to include extra capabilities to explicitly represent and generate agreements on top of the simpler ability to interact. Furthermore, agents in multi-agent systems can form societies, which impose social dependencies on them. These dependencies have a decisive influence in the way agents interact and reach agreements. Argumentation provides a natural means of dealing with conflicts of interest and opinion. Agents can reach agreements by engaging in argumentation dialogues with their opponents in a discussion. In addition, agents can take advantage of previous argumentation experiences to follow dialogue strategies and persuade other agents to accept their opinions. Our insight is that Case-Based Reasoning can be very useful to manage argumentation in open multi-agent systems and devise dialogue strategies based on previous argumentation experiences. To demonstrate the foundations of this suggestion, this paper presents the work that we have done to develop case-based dialogue strategies in agent societies. Thus, we propose a case-based argumentation framework for agent societies and define heuristic dialogue strategies based on it. The framework has been implemented and evaluated in a real customer support application.

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“…Commonly, the term agent society is used in the Argumentation and Artificial Intelligence (AI) literature as a synonym for an agent organisation [11] or a group of agents that play specific roles, follow certain interaction patterns, and collaborate to reach global objectives [23]. Our notion of agents' social context in an argumentation process includes information related to the proponent and the opponent of an argument, the group that these agents belong to, the dependency relation that they have, and the values that they want to promote [14]. Therefore, we endorse the view of value-based argumentation frameworks [6] [5], which stress the importance of the audience in determining whether or not an argument is persuasive.…”

Section: Introductionmentioning

confidence: 99%

An ontological-based knowledge-representation formalism for case-based argumentation

2014

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In open multi-agent systems, agents can enter or leave the system, interact, form societies, and have dependency relations with each other. In these systems, when agents have to collaborate or coordinate their activities to achieve their objectives, their different interests and preferences can come into conflict. Argumentation is a powerful technique to harmonise these conflicts. However, in many situations the social context of agents determines the way in which agents can argue to reach agreements. In this paper, we advance research in the computational representation of argumentation frameworks by proposing a new ontological-based, knowledge-representation formalism for the design of open MAS in which the participating software agents are able to manage and exchange arguments with each other taking into account the agents' social context. This formalism is the core of a case-based argumentation framework for agent societies. In addition, we present an example of the performance of the formalism in a real domain that manages the requests received by the technicians of a call centre.

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On a Computational Argumentation Framework for Agent Societies

Cited by 11 publications

References 43 publications

Agreement Technologies Applied to Transmission Towers Maintenance

Agreement Technologies Applied to Transmission Towers Maintenance

Case-based strategies for argumentation dialogues in agent societies

An ontological-based knowledge-representation formalism for case-based argumentation

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