Showing papers by "Giovanni Pezzulo published in 2003"

Trust in information sources as a source for trust: a fuzzy approach

Abstract: The aim of this paper is to show how relevant is a trust model based on beliefs and their credibility.The approaches to the study of trust are various and very different from each of other. In our view, just a socio-cognitive approach to trust would be able to analyse the sub-components on which the final decision to trust or not is taken. In this paper we show an implementation of our socio-cognitive model of trust developed using the so-called Fuzzy Cognitive Maps. The model allows to distinguish between internal and external attributions and it introduced a degree of trust derived from the credibility of the trust beliefs, while the credibility of the beliefs derives from their sources and the sources' number, convergence, reliability (i.e. trust).With this implementation we show how the different components may change and how their impact can change depending on the specific situation and from the agent heuristics or personality. In particular, we analyse the different nature of the belief sources and their trustworthiness. We assumed different types of belief sources. For each trustier's belief one should consider what the content of the belief is, who/what the source is, how this source evaluates the belief, how the trustier evaluates this source (with respect to this belief). In addition for considering the contribution of different sources we need a theory of how they combine. The interesting thing in this paper is that starting from finding the sources of trust we are obliged to consider the trustworthiness of these sources.

A fuzzy approach to a belief-based trust computation

Abstract: The approaches to the trust study are various and very different each of other. In our view, just a socio-cognitive approach to trust would be able to analyze the sub-components (the basic beliefs) on which the final decision to trust or not is taken. In this paper we show a first implementation and advance of the socio-cognitive model of trust developed in [1, 2] using the so-called Fuzzy Cognitive Maps. With this implementation we show how the different components may change and how their impact can change depending from the specific situation and from the agent personality.

Integrating trustfulness and decision using fuzzy cognitive maps

Abstract: The aim of this paper is to show how relevant is a trust model based on beliefs and their credibility. We will also show how the Fuzzy Cognitive Maps are convenient and practicable for implementing and integrating trustfulness and delegation.

Comparing Ontology-Based and Corpus-Based Domain Annotations in WordNet

Abstract: Domain information has been regarded as an emerging topic of interest in relation to WordNet. A lexical resource, WordNet Domains, is presented, where WordNet synsets have been annotated with domain labels such as Medicine, Architecture and Sport. This annotation reflects the lexicosemantic criteria adopted by humans involved in the annotation. However, from a corpus-based perspective, domains reflect term distribution in a given text collection. The paper proposes a preliminary investigation aiming at comparing and integrating ontology-based and corpus-based domain information.

Cooperating through a belief-based trust computation

Abstract: Many approaches to the trust study exist in literature. In our view, just a socio-cognitive approach to trust would be able to analyze the sub-components (the basic beliefs) on which the final decision to trust or not is taken. In this paper, we show a first implementation and advance of the socio-cognitive model of trust developed according to C. Castelfranchi and R. Falcone (1998) and R. Falcone and C. Castelfranchi (2001) using the so-called Fuzzy Cognitive Maps. With this implementation we show how the different components may change and how their impact can change depending from the specific situation and from the agent personality. We present a case study in the medical domain, with the choice between a Doctor and a Medical Automatic System. Another natural application of the model is a classical collaborative scenario, where each agent needs to evaluate the trustworthiness of the other agents in order to collaborate or delegate a task.