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

article in a collection out of WoS and Scopus

English

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.

trust; trust modelling; single-context trust; multi-context trust; HMTC; confidence interval

SAMEK, J.; MALAČKA, O.; ZBOŘIL, F.; HANÁČEK, P.

2011

5. 9. 2011

Department of Intelligent Systems FIT BUT

Brno

978-80-214-4320-4

Proceeding of the 2nd International Conference on Computer Modelling and Simulation

128

136

9