Open AccessDissertation
Designing and trusting multi-agent systems for B2B applications
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A trust model allowing agents to evaluate the credibility of other peers in the environment using agents' credibility is proposed, which applies a number of measurements in trust evaluation of other party's likely behavior.Abstract:
This thesis includes two main contributions. The first one is designing and implementing B usiness-to-B usiness (B2B ) applications using multi-agent systems and computational argumentation theory. The second one is trust management in such multi-agent systems using agents' credibility. Our first contribution presents a framework for modeling and deploying B2B applications, with autonomous agents exposing the individual components that implement these applications. This framework consists of three levels identified by strategic, application, and resource, with focus here on the first two levels. The strategic level is about the common vision that independent businesses define as part of their decision of partnership. The application level is about the business processes, which are virtually integrated as result of this common vision. Since conflicts are bound to arise among the independent applications/agents, the framework uses a formal model based upon computational argumentation theory through a persuasion protocol to detect and resolve these conflicts. Termination, soundness, and completeness properties of this protocol are presented. Distributed and centralized coordination strategies are also supported in this framework, which is illustrated with an online purchasing case study followed by its implementation in Jadex, a java-based platform for multi-agent systems. An important issue in such open multi-agent systems is how much agents trust each other. Considering the size of these systems, agents that are service providers or customers in a B2B setting cannot avoid interacting with others that are unknown or partially known regarding to some past experience. Due to the fact that agents are self-interested, they may jeopardize the mutual trust by not performing the actions as they are supposed to. To this end, our second contribution is proposing a trust model allowing agents to evaluate the credibility of other peers in the environment. Our multi-factor model applies a number of measurements in trust evaluation of other party's likely behavior. After a period of time, the actual performance of the testimony agent is compared against the information provided by interfering agents. This comparison process leads to both adjusting the credibility of the contributing agents in trust evaluation and improving the system trust evaluation by minimizing the estimation error.read more
Citations
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Journal Article
Relating protocols for dynamic dispute with logics for defeasible argumentation
TL;DR: In this paper, the authors investigated to what extent protocols for dynamic disputes, i.e., disputes in which the information base can vary at different stages, can be justified in terms of logics for defeasible argumentation.
Dissertation
Sistema de Medida de Confianca para Selecc ¸ ˜ ao de Empresas em Sistemas B2B
Filipe Gabriel,Andrade da Silva +1 more
TL;DR: The designing and specification of a trust and contextual information aggregation model, intended to be a reliable alternative to the trust aggregation models already existing, and trying to set apart from those by including rules to emulate human common sense regarding trust building, and mechanisms to obtain a recommendation grade concerning how likely is a potential partner to perform as the authors desire in the fulfilment of a given contract.
References
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Book ChapterDOI
Speech Acts for Dialogue Agents
TL;DR: Speech act theory allows an agent theorist or designer to place agent communication within the same general framework as agent action, which requires a more expressive logic of action than is required for something like the single-agent blocks world, familiar in classical AI planning.
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Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model
TL;DR: It is suggested that the two disciplines, cognitive modeling and social simulation, which have so far been pursued in relative isolation from each other, can be profitably integrated.
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Commitment-based and dialogue-game-based protocols: new trends in agent communication languages
Nicolas Maudet,Brahim Chaib-draa +1 more
TL;DR: This survey introduces existing approaches to Agent Communication Languages (ACLs) and particularly Conversation Policies (CPs) which can be viewed as general constraints on the sequence of semantically coherent messages leading to a goal.
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Engineering self-organizing referral networks for trustworthy service selection
Pinar Yolum,Munindar P. Singh +1 more
TL;DR: The observations of these simulations are formulated into design recommendations that can be used to develop robust, self-organizing referral networks, and how and when such authorities emerge is shown.
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Towards a web services and intelligent agents-based negotiation system for B2B eCommerce
TL;DR: The exploitation of Web services and intelligent agent techniques are exploited for the design and development of a distributed service discovery and negotiation system to streamline B2B eCommerce.