Sycara, K. and Zeng, D. (1996). Coordination of multiple intelligent software agents", International Journal of Intelligent and Cooperative Information Systems, 5(2-3) pp. 181-211. Home/Search Document Details and Download
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.... to moderate a range of digital library services, the InfoSleuth system [13] which exploits user, middleware and resource agents to deliver complex information services, and Retsina which provides a rich infrastructure of user, task and middleware agents for information management activities [17]. Mullen and Wellman s Simple Computational Market model [12] aims to tackle the problem of when and where to establish mirror sites for the more popular information services. Competitive agents choose to set up mirrors based on going prices for network bandwidth, computational resources, and the ....
K. Sycara and D. Zeng. Coordination of multiple intelligent software agents. Cooperative Information Systems, 5(2-3), 1996.
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....adopted similar strategies for controlling multiagent systems. Work done by Krovi et al. 39] Faratin et al. 26] Jung et al. 36] Brandt et al. 8] Wellman and Wurman [85] Smith [71] Gibney et al. 28] Collins et al. 21] Jennings and Arvidsson [33] Sandholm [56] and Sycara and Zeng [75] are examples of economy based sofware agent systems. In contrast, work done by Laengle et al. 40] Simmons et al. 70] Dias and Stentz [24d# Br. xr hq Hh#h. v b27] and Golfarelli et al. 30] are examples of economy based control architectures applied to multirobot systems. Many ....
Sycara, K., and Zeng, D., "Coordination of Multiple Intelligent Software Agents", International journal of Intelligent and Cooperative Information Systems, Volume 5(2-3), pp.181-211, 1996.
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....The second school of thought says that the agents should be able to learn; rather than having a large memory, they should have the ability to acquire experience from previous negotiations they ve conducted. Both schools will be reviewed here. 7 4. 1 Intelligent Agents: No Machine Learning Sycara and Zeng (1996) outline a meta framework for coordinating and structuring a collection of intelligent software, and they report they have designed a protocol for proposals and counter proposals between agents. It is unclear whether the framework is intended to be used for cooperative or competitive problems, but ....
....poker hand. Chavez and Maes report the user feedback was generally positive, but the participants were disappointed when their agents did clearly stupid things, such as accepting the first feasible offer when a second, better one was available. 4. 2 Intelligent Agents: Machine Learning Zeng and Sycara (1996) present Bazaar, an experimental system for updating negotiation offers between two intelligent agents during bilateral negotiations. It explicitly models negotiation as a sequential decision making task, and uses Bayesian probability as the underlying learning 8 mechanism. They present an ....
Sycara, Katia, and Dajun Zeng. "Coordination of Multiple Intelligent Software Agents," to appear in the International Journal of Cooperative Information Systems, 1996. Also at http://www.cs.cmu.edu/ ~zeng/ publications/ ijcis-pleiades.ps.gz.
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....domain. We identified that reusable software agents efficiently address the critical issues associated with each of the different agent categories. For this reason, we defined standard agents for different functionalities and integrated them into databases. Following the ideas described in [14], we distinguish three different types of agents: interface agents; task agents; and . information agents. In our developed system, we provide the end user with the ability to set up an agency using available agents in a database securely available via an Internet Agent Provider (see ....
Katia Sycara, Dajun Zeng, Coordination of Multiple Intelligent Software Agents, International Journal of Cooperative Information Systems 1996.
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....each other, without having to invoke a high level planner. These characteristics reduce the need for inter robot communication and improve overall reliability. As such, our approach is similar to some work in which coordination strategies are explicitly represented and reasoned about (e.g. 6] [19], 20] Our architecture also supports dynamic team formation. Agent coordination occurs between agents filling specific roles in the structure of the team, and roles can be dynamically assigned to agents, in a manner similar to [7] We also plan to use distributed methods to optimize the ....
K. Sycara and D. Zeng, 1996 "Coordination of Multiple Intelligent Software Agents," International Journal of Cooperative Information Systems. Do we have a full ref?
First Results in the Coordination of Heterogeneous .. - Simmons, Singh.. (2000) (7 citations) (Correct)
....with each other, without having to invoke a high level planner. These characteristics reduce the need for inter robot communication and improve overall reliability. As such, our approach is similar to some work in which coordination strategies are explicitly represented and reasoned about [8] [21], 22] Our architecture also supports dynamic team formation. Coordination occurs between agents filling specific roles in the structure of the team, and roles can be dynamically assigned to agents, in a manner similar to [9] We also plan to use distributed methods to optimize the assignment of ....
K. Sycara and D. Zeng, 1996 Coordination of Multiple Intelligent Software Agents, International Journal of Cooperative Information Systems, 5:2-3.
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....that provides a framework for knowledge reuse in different domains (like electronic mail, newsgroups e.t.c. INFOrmer (Riordan and Sorensen, 1995) developed at University of Cork introduces the idea of using associative networks instead of keywords for information retrieval. CMU s RETSINA project (Sycara et al. 1996, Sycara and D. 1996, Decker et al. 1997) defines a framework for distributed intelligent agents. This framework was applied to organizational decision making in the Pleiades system (Sycara, 1995) and to financial investment management in the Warren system. Pleiades introduces task specific and ....
....for knowledge reuse in different domains (like electronic mail, newsgroups e.t.c. INFOrmer (Riordan and Sorensen, 1995) developed at University of Cork introduces the idea of using associative networks instead of keywords for information retrieval. CMU s RETSINA project (Sycara et al. 1996, Sycara and D. 1996, Decker et al. 1997) defines a framework for distributed intelligent agents. This framework was applied to organizational decision making in the Pleiades system (Sycara, 1995) and to financial investment management in the Warren system. Pleiades introduces task specific and information specific ....
Sycara, K. and D., Z. (1996). Coordination of multiple intelligent software agents. International journal of Intelligent and Cooperative Information Systems, 5(2-3):181--211.
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Sycara, K. and Zeng, D. (1996). Coordination of multiple intelligent software agents", International Journal of Intelligent and Cooperative Information Systems, 5(2-3) pp. 181-211.
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....and decentralized. Jennings et al. 19] provide a detailed review of the field. Multi agent systems have been developed for a variety of application domains, including electronic commerce, air traffic control, workflow management, transportation systems, and Web applications, among others [40,41]. To enable effective inter agent communication and coordination, agents that work together have to use an interoperable, platform independent, and semantically unambiguous communication protocol. The two most widely used agent communication languages (ACL) are the Knowledge Query and Manipulation ....
K. Sycara, D. Zeng, Coordination of multiple intelligent software agents, International Journal of Cooperative Information System 5 (2&3) (1996) 181 -- 211.
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K. Sycara and D. Zeng. Coordination of multiple intelligent software agents. IJICIS, 5(2 and 3):181--211, 1996.
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K. Sycara and D. Zeng. Coordination of multiple intelligentsoftware agents. International Journal of Intelligent and Cooperative Information Systems, 5(2 & 3):181--211, 1996. 22
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Sycara, K. and Zeng, D. (1996). Coordination of multiple intelligent software agents. International Journal of Cooperative Information Systems, 5(2-3).
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Sycara, K., Zeng, D.: Coordination of Multiple Intelligent Software Agents. In: International Journal of Cooperative Information Systems. World Scientific Publishing Company (1996)
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Sycara, K., and D. Zeng. 1996. Coordination of multiple intelligent software agents. International Journal of Cooperative Information Systems 5(2&3):181--211.
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Sycara, K., and Zeng, D., "Coordination of Multiple Intelligent Software Agents", International journal of Intelligent and Cooperative Information Systems, Volume 5(2-3), pp.181-211, 1996.
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K. Sycara,D. Zeng. Coordination of Multiple Intelligent Software Agents. International Journal of Intelligent and Cooperative Information Systems, Vol. 5, No. 2-3, pp. 181-211, 1996.
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K. Sycara and D. Zeng. Coordination of multiple intelligent software agents. International Journal of Cooperative Information Systems, 5(2&3):181--211, 1996.
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Sycara, K., and Zeng, D. Coordination of Multiple Intelligent Software Agents, International Journal of Cooperative Information Systems Vol. 5 (2-3), 1996.
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K. Sycara and D. Zeng. Coordination of multiple intelligent software agents. International Journal of Cooperative Information Systems, 5(2,3), 1996.
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Sycara, J. and Zeng, D. 1996. Coordination of multiple intelligent software agents. Intl. Journal of Intelligent and Cooperative Information Systems, 5:181-211.
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Sycara, K. and Zeng, D. Coordination of Multiple Intelligent Software Agents. International Journal of Cooperative Information Systems, 5(2-3).
The Influence of Social Norms and Social Consciousness.. - Grosz, Kraus.. (2000) (Correct)
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Sycara, J. and Zeng, D. 1996. Coordination of multiple intelligent software agents. Intl. Journal of Intelligent and Cooperative Information Systems, 5:181-211.
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