Publication Details
Multi-Agent Experimental Framework with Hierarchical Model of Trust in Contexts for Decision Making
Malačka Ondřej, Ing.
Zbořil František, doc. Ing., Ph.D. (DITS)
Hanáček Petr, doc. Dr. Ing. (DITS)
trust; trust modelling; single-context trust; multi-context trust; HMTC; confidence interval
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.
@inproceedings{BUT76365,
author="Jan {Samek} and Ondřej {Malačka} and František {Zbořil} and Petr {Hanáček}",
title="Multi-Agent Experimental Framework with Hierarchical Model of Trust in Contexts for Decision Making",
booktitle="Proceeding of the 2nd International Conference on Computer Modelling and Simulation",
year="2011",
pages="128--136",
publisher="Department of Intelligent Systems FIT BUT",
address="Brno",
isbn="978-80-214-4320-4"
}