Multi-Agent Experimental Framework with Hierarchical Model of Trust in Contexts for Decision Making

The research in the area of computational models based on trust or reputation is a recent discipline and a lot of work and theoretical approaches was done. But only few computational trust and reputation models directly include ability to work with multi-context property of trust. Moreover, experimental frameworks or tested for theoretical computational are very sporadic. In our recent research, we provide two interoperable solutions which are able together cover a wide range of fundamental problems in trust and reputation computational models such as: single- and multi-context trust model, ability to work with uncertainty and recommendation, reputation and decision making protocol. In order to verify these proposal, we implemented an robust experimental framework based on multi-agent paradigms. In this paper, we describe one part of many simulation scenarios, which is focused on comparison single- and multi-context approach to trust.