Paper Info
Title
Metareasoning and Social Evaluations in Cognitive Agents
Abstract
Reputation mechanisms have been recognized one of the key technologies when designing multi-agent systems. They are specially relevant in complex open environments, becoming a non-centralized mechanism to control interactions among agents. Cognitive agents tackling such complex societies must use reputation information not only for selecting partners to interact with, but also in metareasoning processes to change reasoning rules. This is the focus of this paper. We argue about the necessity to allow, as a cognitive systems designers, certain degree of freedom in the reasoning rules of the agents. We also describes cognitive approaches of agency that support this idea. Furthermore, taking as a base the computational reputation model Repage, and its integration in a BDI architecture, we use the previous ideas to specify metarules and processes to modify at run-time the reasoning paths of the agent. In concrete we propose a metarule to update the link between Repage and the belief base, and a metarule and a process to update an axiom incorporated in the belief logic of the agent. Regarding this last issue we also provide empirical results that show the evolution of agents that use it.
Year
DOI
Venue
2009
10.1007/978-3-642-11482-3_15
Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering
Keywords
DocType
Volume
Reputation,Trust,Cognitive Agents,Metareasoning,BDI agents
Conference
23
ISSN
Citations 
PageRank 
1867-8211
1
0.36
References 
Authors
12
2
Name
Order
Citations
PageRank
Isaac Pinyol117410.14
Jordi Sabater-Mir257341.11