173,236 research outputs found
Adron Doran - Oral History (part 3)
No full textOral history interview with Adron Doran, conducted by Terry Birdwhistle at the University of Kentucky on February 11, 1976. Doran discusses his relationship with Earle C. Clements
Fair Doran
No full textGift of Dr. Mary Jane Esplen.Piano vocal [instrumentation]The Doran plane mounted the air bearing away [first line]Song commemorating the death of Mildred Doran in the Dole aviation race, August 1927 [note]G major [key]Popular song [form/genre]Plane, water [illustration
On Cooperation in Multi-Agent Systems
No full textShort Communication
On cooperation in multi-agent systems 1
J. E. DORAN a1, S. FRANKLIN a2, N. R. JENNINGS a3 and T. J. NORMAN a3
a1 Department of Computer Science, University of Essex, UK
a2 Department of Mathematical Sciences, University of Memphis, USA
a3 Department of Electronic Engineering, Queen Mary & Westfield College, University of London, UK
Abstract
Cooperation is often presented as one of the key concepts which differentiates multi-agent systems from other related disciplines such as distributed computing, object-oriented systems, and expert systems. However, it is a concept whose precise usage in agent-based systems is at best unclear and at worst highly inconsistent. Given the centrality of the issue, and the different ideological viewpoints on the subject, this was a lively panel which dealt with the following main issues
Christine Doran and Mavis Blackadder
No full textMavis Blackadder thanking the Christine Doran and presenting her with cheque for her work at the launch of "Women in Isolation : a history of the Country Women's Association of the NT 1933- 1990" by C. Doran, published 1992, State Library of the Northern Territory, 25 Cavenagh Street, Darwin, NT, 15 December 1992.Fuchs, Nancy
Boy
No full textPhotographic print portrait of a boy addressed to J. Sanger on reverse. Printed D. C. Doran & Son, Bandon Hill, Wallington, Surrey on reverse
The Hive, MBG SPHERE International Health Symposium
No full textMultimedia and interactive installation of artworks where artists were selected to work with clinical academic groups and associated communities to tap into the deeper layers of connection, nodes of empathy and far reaching story telling as part of the MGB SPHERE KT (Knowlege Translation) Platform
Using Ontology Modularization for Efficient Negotiation over Ontology Correspondences in MAS
No full textEfficient agent communication in open and dynamic environments relies on the agents ability to reach a mutual understanding over message exchanges. Such environments are characterized by the existence of heterogeneous agents that commit to different ontologies, with no prior assumptions regarding the use of shared vocabularies. Various approaches have therefore considered how mutually acceptable mappings may be determined dynamically between agents through negotiation. In particular, this paper focusses on the meaning based negotiation approach, proposed by Laera et al [1], that makes use of argumentation in order to select a set of mappings that is deemed acceptable by both agents. However, this process can be highly complex, reaching ?(p)2 complete. Whilst it is non-trivial to reduce this complexity, we have explored the use of ontology modularization as a means of reducing the space of possible concepts over which the agents have to negotiate. In this paper, we propose an approach that combines modularization with argumentation to generate focused domains of discourse to facilitate communication. We empirically demonstrate that we can not only reduce the number of alignments required to reach consensus by an average of 75%, but that in 41% of cases, we can identify those agents that would not be able to fully satisfy the request, without the need for negotiation
Dynamic selection of ontological alignments: a space reduction mechanism
No full textEffective communication in open environments relies on the ability of agents to reach a mutual understanding of the exchanged message by reconciling the vocabulary (ontology) used. Various approaches have considered how mutually acceptable mappings between corresponding concepts in the agents' own ontologies may be determined dynamically through argumentation-based negotiation (such as Meaning-based Argumentation). However, the complexity of this process is high, approaching Π2(p)-complete in some cases. As reducing this complexity is non-trivial, we propose the use of ontology modularization as a means of reducing the space over which possible concepts are negotiated. The suitability of different modularization approaches as filtering mechanisms for reducing the negotiation search space is investigated, and a framework that integrates modularization with Meaning-based Argumentation is proposed. We empirically demonstrate that some modularization approaches not only reduce the number of alignments required to reach consensus, but also predict those cases where a service provider is unable to fully satisfy a request, without the need for negotiation
Two Outline Models of Science: AMS And HAMS
No full textTwo abstract and computational models of the long-term process of science are proposed: AMS and HAMS. An outline specification of each model is given and the relationship between them explained. AMS takes an Olympian (\"artificial world\") view of science and its processes. HAMS is simpler and relatively more abstract and comprises only a small set of core processes. A first implementation of HAMS is described. How AMS and HAMS might be validated and used in experimental investigations is considered including problems that might arise. Further work is proposed. A brief coda concerns a related model of science formulated from an idealist rather than a materialist perspective.Computational Models of Science, Individual-Based Modelling, Scientific Method, Belief Systems, Belief Verification, Idealism
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