Keith Decker, Anandeep Pannu, Katia Sycara, and Mike Williamson. Designing behaviors for information agents. In Proceedings of the First International Conference on Autonomous Agents (Agents'97), pages 404--412, ACM Press, New York, 1997. Home/Search Document Details and Download
Summary ACM TOC Related Articles Check |
This paper is cited in the following contexts:
First 50 documents Next 50
A User Oriented System for Developing - Scerri, Coradeschi, Törne (1998) (4 citations) (Correct)
....[14] and virtual theater[16] Defining agents for simulation environments is a very active research area. The research has resulted in a large number of agent architectures being proposed. Many of the proposed architectures have accompanying languages for defining the behaviors, for example [1, 3, 5, 6, 11, 15, 16]. However many of these methods for specifying behavior are oriented towards a computer experts way of thinking, rather than to a domain experts, i.e. they use logic or other kinds of formalisms. The quality of the behavior exhibited by an agent is closely related to the quality and quantity of ....
Kieth Decker, Anandeep Pannu, Katia Sycara, and Mike Williamson. Designing behaviors for information agents. In Autonomous Agents '97 Online Proceedings, 1997.
Investigating Trust between Users and Agents in A Multi.. - Tang, Winoto, Niu (2002) (1 citation) (Correct)
....to lose, therefore a broker agent has to learn to elicit her his client risk return preference model so as to make a best investment strategy. From the perspective of the client, she he implements a partial trust towards her his client, which is different from most of current studies of this kind [3, 10, 14, 17]. In [3, 10, 14] agents are fully delegated to make decisions in the artificial stock market; while in [17] users have no trust at all towards their agents: a broker agent acts only as an information agent to collect relevant information, and the intelligent client will make final decisions on ....
....a broker agent has to learn to elicit her his client risk return preference model so as to make a best investment strategy. From the perspective of the client, she he implements a partial trust towards her his client, which is different from most of current studies of this kind [3, 10, 14, 17] In [3, 10, 14], agents are fully delegated to make decisions in the artificial stock market; while in [17] users have no trust at all towards their agents: a broker agent acts only as an information agent to collect relevant information, and the intelligent client will make final decisions on their own. ....
K. Decker, K. Sycara, A. Pannu and M. Williamson, Designing behaviors for information agents, in: Proc. AGENTS'97, (ACM Press, 1997).
JGram: Rapid Development of Multi-Agent Pipelines - Tasks (Correct)
....JGram, uses RMI protocol as a communications substrate providing object transport between agents. However, JAFMAS focuses on supporting structured conversational models between agents (derived from speech act theory) and is not well suited for our applications. Unlike systems such as RETSINA [3], the JGram framework provides no higher level abstractions for agent planning or cooperation, aside from the relatively low level pipelining and exception handling mechanisms discussed above. Stanford s JATLite [9] is an agent toolkit with goals that are seem similar to the JGram framework: ....
K. Decker, A. Pannu, K. Sycara, and M. Williamson. Designing behaviors for information agents. In Proceedings of Autonomous Agents, 1997.
Financial News Analysis for Intelligent - Portfolio Management Young-Woo (2004) Self-citation (Sycara) (Correct)
No context found.
K. Decker, K. Sycara, A. Pannu, and M. Williamson. Designing behaviors for information agents. In Proceedings of International Conference on Autonomous Agents, pages 404--413, 1997.
Integrating Intelligent Agents into Human Teams - Katia Sycara Carnegie Self-citation (Sycara) (Correct)
No context found.
Decker, K., Pannu A., Sycara, K., and Williamson M. (1997). Designing behaviors for information agents, Proceedings of the First International Conference on Autonomous Agents (Agents-97), February, Los Angeles, CA., 1997.
Coordinating Very Large Groups Of Wide Area Search.. - Scerri, Liao, Lai.. Self-citation (Sycara) (Correct)
No context found.
K. Decker, K. Sycara, A. Pannu, and M. Williamson. Designing behaviors for information agents. In Procs. of the First International Conference on Autonomous Agents, 1997. 27 28
Text Classification for Intelligent - Portfolio Management Young-Woo (2002) Self-citation (Sycara) (Correct)
No context found.
K. Decker, K. Sycara, A. Pannu, and M. Williamson. Designing behaviors for information agents. In Proceedings of International Conference on Autonomous Agents, pages 404--413, 1997.
Information Sharing in Large Scale Teams - Yang Xu Michael (2004) Self-citation (Sycara) (Correct)
No context found.
K. Decker, K. Sycara, A. Pannu and M. Williamson. Designing behaviors for information agents. Procs. of the First International Conference on Autonomous Agents, Feb., 1997.
Information Sharing in Large Scale Teams - Yang Xu Michael (2004) Self-citation (Sycara) (Correct)
No context found.
K. Decker, K. Sycara, A. Pannu and M. Williamson. Designing behaviors for information agents. Procs. of the First International Conference on Autonomous Agents, Feb., 1997.
Financial News Analysis for Intelligent Portfolio Management - Seo, Giampapa, Sycara (2004) Self-citation (Sycara) (Correct)
No context found.
K. Decker, K. Sycara, A. Pannu, and M. Williamson. Designing behaviors for information agents. In Proceedings of International Conference on Autonomous Agents, pages 404--413, 1997.
Coordinating Very Large Groups Of Wide Area Search.. - Scerri, Liao, Lai.. Self-citation (Sycara) (Correct)
No context found.
K. Decker, K. Sycara, A. Pannu, and M. Williamson. Designing behaviors for information agents. In Procs. of the First International Conference on Autonomous Agents, 1997. 27 28
The RETSINA MAS, a Case Study - Katia Sycara Joseph (2003) (2 citations) Self-citation (Sycara) (Correct)
No context found.
K. Decker, A. Pannu, K. Sycara, and M. Williamson. Designing behaviors for information agents. In Proceedings of the First International Conference on Autonomous Agents (Agents 1997), February 1997. 0-89791-877-0/97/02.
Text Classification for Intelligent - Portfolio Management Young-Woo (2002) Self-citation (Sycara) (Correct)
No context found.
K. Decker, K. Sycara, A. Pannu, and M. Williamson. Designing behaviors for information agents. In Proceedings of International Conference on Autonomous Agents, pages 404--413, 1997.
BioMAS: a Multi-Agent System for Genomic Annotation - Keith Decker Salim (2002) (2 citations) Self-citation (Decker) (Correct)
.... of the annotation work for each gene can be done independently # biologists wish to both make their findings widely available, yet retain control over the data # new types of analysis and sources of data are appearing constantly We have used DECAF, a multi agent system toolkit based on RETSINA [32, 12, 8]: and TAEMS [11, 34] to construct a prototype multi agent system for automated annotation and database storage of sequencing data for herpesviruses [7] The resulting system eliminates tedious and always out of date hand analyses, makes the data and annotations available for other researchers (or ....
....from the information sources because they are being produced by different organizational entities, usually for different purposes than those of the information gathering user. Examples of information gathering domains are financial information (evaluating, tracking, and managing a stock portfolio)[8, 12], military strategic information (integration of friendly troop movements, enemy observations, weather, satellite data, civilian communications) 19] and annotation of gene sequences (as discussed briefly in the introduction) Solutions to the information gathering problem tend to draw on two ....
[Article contains additional citation context not shown here]
K. S. Decker, A. Pannu, K. Sycara, and M. Williamson. Designing behaviors for information agents. In Proceedings of the 1st Intl. Conf. on Autonomous Agents, pages 404--413, Marina del Rey, February 1997. 22
Team-Oriented Agent Coordination in the RETSINA Multi-Agent.. - Giampapa, Sycara (2002) (12 citations) Self-citation (Sycara) (Correct)
....of the process, the team agents continue to evaluate and re ne their plans and roles as the simulated world and team agent subgoals change, throughout the execution of the mission. The continuous partial plan re nement behavior is made possible through the RETSINA Individual Agent Architecture [23, 4], which interleaves HTN planning and process execution. We enhance the above models of teamwork by adding our own characterizations of checkpoints, role and subgoal relations in software agent teamwork, and show how the software agents can acquire this information from their operating environment ....
....descriptions, known as advertisements. Information agents model the information world to the agent society, and can monitor any data or eventproducing source for user supplied conditions. By classifying agents functionally, we believe that it is possible to uniformly de ne agent behaviors [4] that are consistent with their functional description. The RETSINA Individual Agent Architecture [23, 4] is illustrated by Figure 2. This agent architecture implements Hierarchical Task Network (HTN) Planning [7, 15] in three parallel execution threads. A fourth thread, the Communicator [19] ....
[Article contains additional citation context not shown here]
K. Decker, A. Pannu, K. Sycara, and M. Williamson. Designing behaviors for information agents. In Proceedings of Agents 1997.
Text Classification for Intelligent Agent Portfolio Management - Seo, Giampapa, Sycara (2002) (1 citation) Self-citation (Sycara) (Correct)
....for improving classification accuracy. 1. INTRODUCTION there is a large volume of information about a company and its financial performance for humans to effectively attend to and manage while making decisions. To address this problem, we proposed a multi agent system, called Warren [16] [5] that helps the user track information on a portfolio of companies of interest. Warren is composed of different The system is named after Warren Buffet, a famous American investor and author about investment strategies. agents that help the user track the stock price, performance history, ....
K. Decker, K. Sycara, A. Pannu, and M. Williamson. Designing behaviors for information agents. In Proc. of Int'l Conf. on Autonomous Agents (AA-97), pages 404--413, 1997.
Text Classification for Intelligent Portfolio Management - Seo, Giampapa, Sycara (2002) (1 citation) Self-citation (Sycara) (Correct)
....In the application domain of stock portfolio management, there is a large volume of information about a company and its nancial performance for humans to e ectively attend to and manage while making decisions. To address this problem, we proposed a multi agent system, called Warren [4], 15] that helps the user track information on a portfolio of companies of interest. Warren is composed of di erent agents that help the user track the stock price, performance history, earnings summaries, and Beta value (risk) associated with the individual holdings in their stock portfolio, and ....
Decker, K., Sycara, K., Pannu, A., and Williamson, M., Designing behaviors for information agents, In Proc. of Int'l Conf. on Autonomous Agents (AA-97), pp. 404-413, 1997.
Deploying Information Agents on the Web - Craig Knoblock University (Correct)
No context found.
Keith Decker, Anandeep Pannu, Katia Sycara, and Mike Williamson. Designing behaviors for information agents. In Proceedings of the First International Conference on Autonomous Agents (Agents'97), pages 404--412, ACM Press, New York, 1997.
On the Behavior-based Architectures of Autonomous Agency - Mali (Correct)
No context found.
Keith Decker, Anandeep Pannu, Katia Sycara and Mike Williamson, Designing behaviors for information agents, First international conference on autonomous agents, Feb. 1997.
A low cost/high performance Scalable Topology for Multi-Agent .. - Aguirre, Huerta (Correct)
No context found.
A. P. . W. K. Sycara, K. Decker. Designing behaviors for information agents. Proceedings of the First International Conference on Autonomous Agents., pages 404-412, 1997.
On Programming Information Agent Systems - An.. - Ding, Litz, Malaka.. (2003) (Correct)
No context found.
K. Decker, A. Pannu, K. Sycara, and M. Williamson. Designing Behaviors for Information Agents. In Proc. of the first Conference on Autonomous Agents (Agents'97), 1997.
Deploying Information Agents on the Web - Knoblock (Correct)
No context found.
Keith Decker, Anandeep Pannu, Katia Sycara, and Mike Williamson. Designing behaviors for information agents. In Proceedings of the First International Conference on Autonomous Agents (Agents'97), pages 404--412, ACM Press, New York, 1997.
Query Refinement for Domain-Specific Web Search - Oyama (Correct)
No context found.
K. Sycara K. Decker, A. Pannu and M. Williamson. Designing behaviors for information agents. In Proc. 1st International Conference on Autonomous Agents, pages 404--412, February 1997.
Ontology-based Infrastructure for Intelligent Applications - Eberhart (2004) (Correct)
No context found.
K. Decker, A. Pannu, K. Sycara, and M. Williamson. Designing behaviors for information agents. In W. Johnson and B. Hayes-Roth, editors, Proceedings of the First International Conference on Autonomous Agents (Agents'97), pages 404--412, Marina del Rey, CA, USA, 5--8, 1997. ACM Press.
BIG: An agent for resource-bounded information.. - Lesser, Horling.. (2000) (6 citations) (Correct)
No context found.
K. Decker, A. Pannu, K. Sycara, M. Williamson, Designing behaviors for information agents, in: Proc. 1st Internat. Conference on Autonomous Agents, Marina del Rey, CA, 1997, pp. 404--413.
First 50 documents Next 50
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC