M. Prasad, V. Lesser, and S. E. Lander, "Retrieval and reasoning in distributed case bases," Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, vol. 7, no. 1, pp. 74--87, 1996.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....and Genesereth, 1997] mediators use suitable mechanisms to rewrite queries according to source descriptions. Usually, the proposed systems do not allow automatic adaptation of such descriptions when something changes. Distributed Case Based Reasoning (DCBR) A distributed case based reasoner [Prasad et al. 1996; Plaza et al. 1997] learns by experience and cooperation how problems can be solved. Therefore, it is appropriate for distributed and dynamic application domains, when it is impossible to have predefined solutions. Nevertheless, as far as we know, its application to information integration is a ....

M. V. N. Prasad, V. R. Lesser, and S. E. Lander. Retrieval and reasoning in distributed case bases. Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, 7(1):74--87, March 1996.

....multiple cases to solve the sub parts of the target problem; similar approaches are described by [1, 13] Alternatively, multi agent distributed case based reasoning systems distribute case knowledge and problem solving e ort across multiple CBR agents. For example, Nagendra Prasad et al. [11] describe the CBR TEAM system that uses a set of heterogeneous cooperative agents in a parametric design task (steamcondenser component design) Each agent is responsible for a particular component design task and the agents cooperate to resolve design con icts as each new design is constructed ....

M.V. Nagendra Prasad, V. Lesser, and S. Lander. Retrieval and reasoning in distributed case bases. Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, 7(1):74-87, 1996.

....travel preferences in an unfamiliar map territory. 1 Introduction Distributed case based reasoning strategies, where problems are solved by the combined e ort of multiple, independent CBR agents, have the potential to improve the performance and maintainability of real world case based systems [10 12]. For example, eciency can be improved by distributing problem solving e ort across multiple independent agents operating in parallel. Also, any single CBR system or agent will have limited coverage characteristics, but by combining multiple agents, with independent or overlapping coverage ....

M.V. Nagendra Prasad, V. Lesser, and S. Lander. On retrieval and reasoning in distributed case bases. In 1995 IEEE International Conference on Systems Man and Cybernetics, 1995.

....7. It remains future work to see if Noos agents communicating with agents using other representation languages like Loom or KIF could actually use KQML constructs. The CBP TEAM system uses negotiated case retrieval as a form of cooperative CBP among heterogeneous agents (subtask specialists) [9]. The overall task is a distributed constraint optimization process over the shared interface parameters (parameters optimized by more than one agent) Although the CBP cooperation modes we propose are quite general descriptions, there are more options that those explained in this paper and that ....

M V Nagendra Prassad, Victor R Lesser, and Susan Lander. Retrieval and reasoning in distributed case bases. Technical report, UMass Computer Science Department, 1995.

....and Genesereth, 1997] mediators use suitable mechanisms to rewrite queries according to source descriptions. Usually, the proposed systems do not allow automatic adaptation of such descriptions when something changes. Distributed Case Based Reasoning (DCBR) A distributed case based reasoner [Prasad et al. 1996; Plaza et al. 1997] learns by experience and cooperation how problems can be solved. Therefore, it is appropriate for distributed and dynamic application domains, when it is impossible to have predefined solutions. Nevertheless, as far as we know, its application to information integration is a ....

M. V. N. Prasad, V. R. Lesser, and S. E. Lander. Retrieval and reasoning in distributed case bases. Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, 7(1):74--87, March 1996.

....market that motivates the participation of bidders. In other domain applications a real price can be used instead. Then an underlying payment mechanism among agents is needed. 4 Discussion Some related approaches to case retrieval in a distributed setting are CBR TEAM and NR. The CBR TEAM [14] system allows cooperative retrieval and composition of a case whose subcases 7 A perspective constructs from the patient model a speci c model of the relevant aspects for the task at hand [1] are distributed across several (specialist) agents in a MAS. This approach addresses the issues ....

M. V. N. Prasad, V. R. Lesser, and S. E. Lander. Retrieval and reasoning in distributed case bases. Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, 7:74-87, 1995. Also as UMASS CS Technical Report 95-27.

....in an unbalanced paradigm, neutral intermediaries are introduced: information brokers. As stated in the introduction, the more basic goal of information brokers is the matching of user interests and available documents. A common aspect of these information brokers and Negotiated Retrieval ([11]) is the merging of documents out of several sources. However, information brokers have more goals and features. Information brokers should, for instance, be proactive to relieve the user as much as possible. 2.2 Cumulative duality in directed communication There is a clear relation with ....

M.V. Nagendra Prasad, V.R. Lesser, and S.E. Lander. Retrieval and Reasoning in Distributed Case Bases. In Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, volume 7 (1), pages 74--87, 1996.

....B received two subanswers, and for r 2 three subanswers. The generator g will construct a solution space consisting of six potential solutions for r. By checking the initial constraints of r, only valid solutions are extracted from the solution space and propagated to the requester of r. In [ Prasad et al. 1995 ] a related negotiationdriven multiagent retrieval approach is proposed where inconsistencies between different subanswers are dynamically resolved. A set of generators identifies a class of subsets of the domain which are stable under these generators, that is, if the arguments a i are within ....

M. V. N. Prasad, V. R. Lesser, and S. Lander. Retrieval and reasoning in distributed case bases. Technical Report TR-95-27, Dept. of Computer Science, Univ. of Massachusetts, Amherst, MA, 1995.

....to learn appropriate instantiations of hierarchical organizations. Though Weiss(Weiss 1994) studies this system in the blocks world domain, it could represent an interesting alternative to the learning mechanism we proposed in this paper for learning organizational knowledge. Nagendra Prasad et al.(Nagendra Prasad, Lesser, Lander 1996) and Garland and Alterman(Garland Alterman 1996) discuss issues in knowledge reuse in multi agent systems. Sugawra and Lesser(Sugawara Lesser 1993) discuss a distributed network diagnosis system where each local segment of the network has an intelligent diagnosis agent called LODES that ....

Nagendra Prasad, M. V.; Lesser, V. R.; and Lander, S. E. 1996. Retrieval and reasoning in distributed case bases. Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries 7(1):74--87.

....instantiations of hierarchical organizations. Though Weiss(Weiss, 1994) studies this system in the blocks world domain, it could represent an interesting alternative to the learning mechanism we proposed in this paper for learning organizational knowledge. Nagendra Prasad, Lesser and Lander(Nagendra Prasad et al. 1996) and Garland and Alterman (Garland and Alterman, 1996) discuss issues in knowledge reuse in multi agent systems. Sugawra and Lesser(Sugawara and Lesser, 1993) discuss a distributed networking system where each local segment of the network has an intelligent diagnosis agent called LODES that ....

Nagendra Prasad, M. V., Lesser, V. R., and Lander, S. E. (1996). Retrieval and reasoning in distributed case bases. Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, 7(1):74--87.

.... already developed as the TEAM system by Lander[Lander, 1994] Learning coordination strategies was done on the generalized partial global planning system constructed for studying coordination among heterogeneous agents in complex domains like distributed sensor monitoring[Decker and Lesser, 1995, Nagendra Prasad et al. 1996a] The agents in these systems are of large granularity and are essentially sophisticated reasoners. Moreover, learning organizational roles and non local requirements was done in the context of reusable design agents. Much of the literature in learning deals with systems that are stripped down ....

....one of them can do it by itself. Irregular behavior of an agent has global ramifications for the entire agent set. Mataric[Mataric, 1994b] also introduced the concept of progress estimators akin to the idea of potential (in Chapter 3) independently developed by us[Nagendra Prasad et al. 1995a, Nagendra Prasad et al. 1996b] In addition to the reinforcement upon reaching a goal, partial internal critics called progress estimators, when active, provide a metric of improvement in the context of specific goals. For example, a progress estimator associated with homing behavior gives a positive reinforcement if the ....

[Article contains additional citation context not shown here]

Nagendra Prasad, M. V.; Lesser, V. R.; and Lander, S. E. Retrieval and Reasoning in Distributed Case Bases. Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, 7(1):74--87, March 1996.

....to accomplish a goal and no one of them can do it by itself. Irregular behavior of an agent has global ramifications for the entire agent set. Mataric[Mataric, 1994b] also introduced the concept of progress estimators akin to the idea of potential (in Chapter 3) independently developed by us[Nagendra Prasad et al. 1995a, Nagendra Prasad et al. 1996b] In addition to the reinforcement upon reaching a goal, partial internal critics called progress estimators, when active, provide a metric of improvement in the context of specific goals. For example, a progress estimator associated with homing behavior gives a ....

....control. Little by the way of statistical verification of the schemes has been done except in the case of Nagendra Prasad, Lesser and Lander[Nagendra Prasad et al. 1996c] Grecu and Brown[Grecu and Brown, 1996] and Haynes and Sen[Haynes and Sen, 1996] Nagendra Prasad, Lesser and Lander[Nagendra Prasad et al. 1995b, Nagendra Prasad et al. 1996c, Nagendra Prasad and Lesser, 1996a] represents one of the earliest attempts at multi agent case based reasoning. Each of the agents contributed a subcase to an overall composite case. Assembling the subcase is treated as a distributed constraint optimization ....

[Article contains additional citation context not shown here]

Nagendra Prasad, M. V.; Lesser, V. R.; and Lander, S. E. On retrieval and reasoning in distributed case bases. In 1995 IEEE International Conference on Systems Man and Cybernetics, Vancouver, Canada., October 1995.

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M. Prasad, V. Lesser, and S. E. Lander, "Retrieval and reasoning in distributed case bases," Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, vol. 7, no. 1, pp. 74--87, 1996.

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M.V. Nagendra Prasad, V.R. Lesser, and S.E. Lander. Retrieval and Reasoning in Distributed Case Bases. In Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, volume 7 (1), pages 74-87, 1996.

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Prasad, M. V. N., Lesser, V. R., and Lander, S. E. Retrieval and reasoning in distributed case bases, J. of Visual Communication and Image Representation, Special Issue on Digital Libraries 7, 1 (1996), 74-87.

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