Community-based service location
Communications of the ACM
Reputation and social network analysis in multi-agent systems
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
tu Prolog: A Light-Weight Prolog for Internet Applications and Infrastructures
PADL '01 Proceedings of the Third International Symposium on Practical Aspects of Declarative Languages
DATALOG with Constraints: A Foundation for Trust Management Languages
PADL '03 Proceedings of the 5th International Symposium on Practical Aspects of Declarative Languages
A reputation-based trust model for peer-to-peer ecommerce communities [Extended Abstract]
Proceedings of the 4th ACM conference on Electronic commerce
A Policy Language for a Pervasive Computing Environment
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
Cassandra: Distributed Access Control Policies with Tunable Expressiveness
POLICY '04 Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks
Artemis: Deploying semantically enriched Web services in the healthcare domain
Information Systems
Permission and authorization in policies for virtual communities of agents
AP2PC'04 Proceedings of the Third international conference on Agents and Peer-to-Peer Computing
Engineering self-organizing referral networks for trustworthy service selection
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Engineering societal information systems by agent-oriented modeling
Journal of Ambient Intelligence and Smart Environments - A software engineering perspective on smart applications for AmI
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Referral networks are a kind of P2P system consisting of autonomous agents who seek and provide services, or refer other service providers. Key applications include service discovery and selection, and knowledge sharing. An agent seeking a service contacts other agents to discover suitable service providers. An agent who is contacted may autonomously ignore the request or respond by providing the desired service or giving a referral. This use of referrals is inspired by human interactions, where referrals are a key basis for judging the trustworthiness of a given service. The use of referrals differentiates such networks from traditional P2P information sharing systems, which are based on request flooding. Not only does the use of referrals enable an agent to control how its request is processed, it also provides an architectural basis for four kinds of interaction policies. InterPol is a language and framework supporting such policies.InterPol provides an ability to specify requests with hard and soft constraints as well as a vocabulary of application-independent terms based on interaction concepts. Using these, InterPol enables agents to reveal private information and accept others' information based on subtle relationships. In this manner, InterPol goes beyond traditional referral and other P2P systems in supporting practical applications. InterPol has been implemented using a Datalog-based policy engine for each agent. It has been applied on scenarios from a (multinational) health care project. The contribution of this paper is in a general referrals-based architecture for information sharing among autonomous agents, which is shown to effectively capture a variety of privacy and trust requirements of autonomous users.