Analogical Trust Reasoning

Abstract

Abstract. Trust is situation-specific and the trust judgment problem with which the truster is confronted might be, in some ways, similar but not identical to some problems the truster has previously encountered. The truster then may draw information from these past experiences useful for the current situation. We present a knowledge-intensive and model-based case-based reasoning framework that supports the truster to infer such information. The suggested method augments the typically sparse trust information by inferring the missing information from other situational conditions, and can better support situation-aware trust management. Our framework can be coupled with existing trust management models to make them situation-aware. It uses the underlying model of trust management to transfer trust information between situations. We validate the proposed framework for Subjective Logic trust management model and evaluate it by conducting experiments on a large real dataset.

Improving Trust-Guided Behavior Adaptation Using Operator Feedback

“…In case-based reasoning, research has focused on traditional trust rather than inverse trust, and has generally been examined in the context of agent collaboration [7] or recommendation systems [8]. Case provenance [9] also deals with trust but focuses on the trustworthiness of a case's source rather than the trustworthiness of an agent or system.…”

How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust

“…The topic of trust models in CBR is generally examined in the context of recommendation systems [13] or agent collaboration [14]. Similarly, the idea of case provenance [15] is related to trust in that it involves considering the source of a case and if that source is a reliable source of information.…”

On the integration of trust with negotiation, argumentation and semantics

“…Reputation, on the other hand, relies less on the agents’ own experience, is broader in scope, sometimes fuzzy, and can only be acceptable if and only if it obeys some explicit, institutional, social norms governing the propagation of trust-based information in a network. Such norms should prevent unfair generalization and abuse of the transitivity property (as discussed in Tavakolifard et al ., 2009), only allowing well-formed reputation information to be taken into account.…”