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Such J.M.,Polytechnic University of Valencia | Espinosa A.,Polytechnic University of Valencia | Garcia-Fornes A.,Polytechnic University of Valencia | Sierra C.,Institute dInvestigacio en Intelligencia Artificial IIIA
10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011 | Year: 2011

In this paper, we introduce a self-disclosure decision-making mechanism based on information-theoretic measures. This decision-making mechanism uses an intimacy measure between agents and the privacy loss that a particular disclosure may cause. Copyright © 2011, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.


Debenham J.,University of Technology, Sydney | Sierra C.,Institute dInvestigacio en Intelligencia Artificial IIIA
Lecture Notes in Business Information Processing | Year: 2010

A model of reputation is presented in which agents share and aggregate their opinions, and observe the way in which their opinions effect the opinions of others. A method is proposed that supports the deliberative process of combining opinions into a group's reputation. The reliability of agents as opinion givers are measured in terms of the extent to which their opinions differ from that of the group reputation. These reliability measures are used to form an a priori reputation estimate given the individual opinions of a set of independent agents. © 2010 Springer-Verlag Berlin Heidelberg.


Torra V.,Institute dInvestigacio en Intelligencia Artificial IIIA
Studies in Fuzziness and Soft Computing | Year: 2013

It was in 1990, when I was still studying my degree in Computer Science, when I met Prof. Lotfi Zadeh for the first time, if I do not remember wrongly. It was in a conference I was participating in Barcelona where he gave one of the plenary talks. I remember clearly that he mentioned fuzzy systems and the successful Japanese applications of the late 80es. I have always used the applications of fuzzy systems in class as an example of successful applications of artificial intelligence and related technologies. © 2013 Springer-Verlag Berlin Heidelberg.


Debenham J.,QCIS | Sierra C.,Institute dInvestigacio en Intelligencia Artificial IIIA
Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII | Year: 2010

Human agents deliberate using models based on reason for only a minute proportion of the decisions that they make. In stark contrast, the deliberation of artificial agents is heavily dominated by formal models based on reason such as game theory, decision theory and logic - despite that fact that formal reasoning will not necessarily lead to superior real-world decisions. Further the Nobel Laureate Friedrich Hayek warns us of the 'fatal conceit' in controlling deliberative systems using models based on reason as the particular model chosen will then shape the system's future and either impede, or eventually destroy, the subtle evolutionary processes that are an integral part of human systems and institutions, and are crucial to their evolution and long-term survival. We describe an architecture for artificial agents that is founded on Hayek's two rationalities and supports the two forms of deliberation used by mankind. © 2010 Springer-Verlag London.


Debenham J.,University of Technology, Sydney | Sierra C.,Institute dInvestigacio en Intelligencia Artificial IIIA
Lecture Notes in Business Information Processing | Year: 2012

Trust is an agent's expectation of the value it will observe when it evaluates the enactment of another agent's commitment. There are two steps involved in trust: first the action that another agent is expected to enact given that it has made a commitment, and second the expected valuation of that action when the result of that action is eventually consumed. A computational model of trust is presented that takes account of: prior knowledge of other agents, the evolution of trust estimates in time, and the evolution of trust estimates in response to changes in context. This model is founded on the principle of information-based agency that each and every utterance made contains valuable information. The computational basis for the model is substantially simpler and is more theoretically grounded than previously reported. © 2012 Springer-Verlag.

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