caa a22 4500 605514674 CHVBK 20210128100705.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s10458-014-9278-9 doi (NATIONALLICENCE)springer-10.1007/s10458-014-9278-9 Towards a cognitive meta-model for adaptive trust and reputation in open multi-agent systems [Elektronische Daten] [Bruno Hoelz, Célia Ralha] Computational trust and reputation models are key elements in the design of open multi-agent systems. They offer means of evaluating and reducing risks of cooperation in the presence of uncertainty. However, the models proposed in the literature do not consider the costs they introduce and how they are affected by environmental aspects. In this paper, a cognitive meta-model for adaptive trust and reputation in open multi-agent systems is presented. It acts as a complement to a non-adaptive model by allowing the agent to reason about it and react to changes in the environment. We demonstrate how the meta-model can be applied to existent models proposed in the literature, by adjusting the model's parameters. Finally, we propose evaluation criteria to drive meta-level reasoning considering the costs involved when employing trust and reputation models in dynamic environments. The Author(s), 2014 Open multi-agent systems nationallicence Meta-model nationallicence Adaptiveness nationallicence Computational trust and reputation nationallicence Hoelz Bruno University of Brasília, Brasília, Brazil aut Ralha Célia University of Brasília, Brasília, Brazil aut Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/6(2015-11-01), 1125-1156 1387-2532 29:6<1125 2015 29 10458 https://doi.org/10.1007/s10458-014-9278-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10458-014-9278-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hoelz Bruno University of Brasília, Brasília, Brazil aut NATIONALLICENCE 700 1- Ralha Célia University of Brasília, Brasília, Brazil aut NATIONALLICENCE 773 0- Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/6(2015-11-01), 1125-1156 1387-2532 29:6<1125 2015 29 10458