A critical investigation of recall and precision as measures of retrieval system performance
ACM Transactions on Information Systems (TOIS)
Designing behaviors for information agents
AGENTS '97 Proceedings of the first international conference on Autonomous agents
REGRET: reputation in gregarious societies
Proceedings of the fifth international conference on Autonomous agents
Reputation in Artificial Societies: Social Beliefs for Social Order
Reputation in Artificial Societies: Social Beliefs for Social Order
An Agent-Based Hierarchical Clustering Approach for E-commerce Environments
EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Review on Computational Trust and Reputation Models
Artificial Intelligence Review
The Knowledge Engineering Review
A multi-agent system that facilitates scientific publications search
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
MASHA: A multi-agent system handling user and device adaptivity of Web sites
User Modeling and User-Adapted Interaction
Proceedings of the 9th annual conference companion on Genetic and evolutionary computation
On representation and aggregation of social evaluations in computational trust and reputation models
International Journal of Approximate Reasoning
EC-XAMAS: SUPPORTING E-COMMERCE ACTIVITIES BY AN XML-BASED ADAPTIVE MULTI-AGENT SYSTEM
Applied Artificial Intelligence
Opponent modelling in automated multi-issue negotiation using Bayesian learning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
CellTrust: a reputation model for C2C commerce
Electronic Commerce Research
Software Engineering for Self-Adaptive Systems: A Research Roadmap
Software Engineering for Self-Adaptive Systems
Learning and multiagent reasoning for autonomous agents
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
MUADDIB: A distributed recommender system supporting device adaptivity
ACM Transactions on Information Systems (TOIS)
Multi-Agent Systems: Simulation and Applications
Multi-Agent Systems: Simulation and Applications
EVA: AN EVOLUTIONARY APPROACH TO MUTUAL MONITORING OF LEARNING INFORMATION AGENTS
Applied Artificial Intelligence
A Multi-agent System Using Ontological User Profiles for Dynamic User Modelling
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Agent cloning: an approach to agent mobility and resource allocation
IEEE Communications Magazine
Modeling cooperation in multi-agent communities
Cognitive Systems Research
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Learning agents can autonomously improve both knowledge and performances by using learning strategies. Recently, an approach based on a cloning process, called EVolutionary Agents (EVA), has been proposed to obtain more effective recommendations, generating advantages for the whole agent community through individual improvements. In particular, users can substitute unsatisfactory agents with others provided with a good reputation and associated with users having similar interests. This approach is able to support an evolutionary behavior in the community that allows the best agents to emerge over the less productive agents. However, such an approach is user-centric requiring a user's request to clone an agent. Consequently, the approach slowly generates modifications in the agent population. To speed up this evolutionary process, a proactive mechanism called EVA2 is proposed in this paper, where the system autonomously identifies for each user those agents that in the community have a good reputation and share the same interests. The user can check the clones of such suggested agents in order to evaluate their performances and to adopt them. The results of some experiments show significant advantages introduced by the proposed approach.