DAI for Document Retrieval: The MINDS Project

Huhns, Michael N.; Mukhopadhyay, Uttam; Stephens, Larry M.; Bonnell, R.D.

doi:10.1016/b978-0-934613-38-5.50012-x

Cited by 30 publications

(13 citation statements)

References 19 publications

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“…MINDS and ReferralWeb are two major approaches for referral systems. MINDS emphasizes learning heuristics for referral generation [Huhns et al, 1987], whereas ReferralWeb focuses on how to bootstrap the referral system [Kautz et al, 1997]. By contrast, this paper emphasizes the dynamics of social networks and the effects of the dynamics on information flow.…”

Section: Introductionmentioning

confidence: 99%

Searching social networks

Singh

2003

Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems

139

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A referral system is a multiagent system whose member agents are capable of giving and following referrals. The specific cases of interest arise where each agent has a user. The agents cooperate by giving and taking referrals so each can better help its user locate relevant information. This use of referrals mimics human interactions and can potentially lead to greater effectiveness and efficiency than in single-agent systems.Existing approaches consider what referrals may be given and treat the referring process simply as path search in a static graph. By contrast, the present approach understands referrals as arising in and influencing dynamic social networks, where the agents act autonomously based on local knowledge. This paper studies strategies using which agents may search dynamic social networks. It evaluates the proposed approach empirically for a community of AI scientists (partially derived from bibliographic data). Further, it presents a prototype system that assists users in finding other users in practical social networks.

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Section: Introductionmentioning

confidence: 99%

Searching social networks

Singh

2003

Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems

139

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“…For example, MINDS, which helped users find documents, was an early agent-based referral system [Huhns et al, 1987]. MINDS system allows adaptivity but the self-organization of the nodes have not been studied.…”

Section: Discussionmentioning

confidence: 99%

Self-Organizing Referral Networks: A Process View of Trust and Authority

Yolum

Singh

2004

Engineering Self-Organising Systems

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Agents must decide with whom to interact, which is nontrivial when no central directories are available. We are developing a decentralized approach to trust based on referral systems, where agents adaptively give referrals to one another. Interestingly, referral systems provide us with a useful and intuitive model of how links may be generated: a referral corresponds to a customized link generated on demand by one agent for another. This gives us a basis for studying the processes underlying trust and authority, especially as they affect the structure of the evolving social network of agents. We explore key relationships between the policies and representations of the individual agents on the one hand and the aggregate structure of their social network on the other.

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“…One of the earliest projects that constructed referral networks of agents was the MINDS project [4]. We briefly review this project next, and then reconstruct its referral components from the perspective of the social abstractions introduced here.…”

Section: Referral Networkmentioning

confidence: 99%