Browsing by Subject "software agents"
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Item Agent Communication in DAML World(2003-01-01) Zou, Youyong; Finin, Tim; Peng, Yun; Joshi, Anupam; Cost, ScottThe Darpa Agent Markup Language (DAML) is the newest effort for Semantic Web. It can be used to create ontologies and markup information resource like web pages. The information resource can be read by human and understood by agent programs. We believed DAML could be used to markup agent communication content and promote knowledge sharing and exchanging between agents. This paper also suggested an alternative model to connect web and agent together. We defined the necessary ontologies for agent communication in DAML language and described the agent communication scenario occurred in the ITTalks Project.Item Communicating neural network knowledge between agents in a simulated aerial reconnaissance system(IEEE, 1999-10-03) Quirolgico, Stephen; Canfield, Kip; Finin, Timothy; Smith, James A.In order to maintain their performance in a dynamic environment, agents may be required to modify their learning behavior during run-time. If an agent utilizes a rule-based system for learning, new rules may be easily communicated to the agent in order to modify the way in which it learns. However, if an agent utilizes a connectionist-based system for learning, the way in which the agent learns typically remains static. This is due, in part, to a lack of research in communicating subsymbolic information between agents. In this paper, we present a framework for communicating neural network knowledge between agents in order to modify an agent’s learning and pattern classification behavior. This framework is applied to a simulated aerial reconnaissance system in order to show how the communication of neural network knowledge can help maintain the performance of agents tasked with recognizing images of mobile military objects.Item The Interoperability Problem: Bringing together Mobile Agents and Agent Communication Languages(IEEE, 1999-01-05) Labrou, Yannis K.; Finin, Tim; Peng, YunInteroperability is a central issue for both the mobile agents community and the wider agents community. Unfortunately, the interoperability concerns are different between the two communities. As a result, inter-agent communication is an issue that has been addressed in a limited manner by the mobile agents community. Agent communication languages (ACLs) have been developed as tools with the capacity to integrate disparate sources of information and support interoperability but have achieved limited use by mobile agents. We investigate the origins of the differences of perspective on agent-to-agent communication, examine the reasons for the relative lack of interest in ACLs by mobile agents researchers and explore the integration of ACLs into mobile agents frameworks.Item Mobile agents can benefit from standards efforts on interagent communication(IEEE, 1998-07-01) Finin, T.; Labrou, Y.; Peng, YunOn the road for the future success of mobile agents, we believe that inter-agent communication is an issue that has not been adequately addressed by the mobile agents community. Supplementing mobile agents with the ability to interact with other mobile or static agents, or agentified information sources is a necessity in the vastly heterogeneous arena where mobile agents are called to compete. Thus, an agent communication language should be interpreted as a tool with the capacity to integrate disparate sources of information. In the first segment, we argue that mobile agents can benefit from current standards efforts on agent communication since the focus of such work is to address heterogeneity by defining a “common language” for communicating agents. In the second part, we discuss ongoing research on agent to agent communication and we present current standards efforts relevant to agent communication.Item Steps Towards Creating a Context-Aware Agent System(2001-09-27) Chen, Harry; Tolia, SovrinThe ability to reason from context is crucial to human communication. It allows a large amount of implicit information to be conveyed with a small amount of explicit description. If the same kind of ability can be provided to software agents, then these agents, even with little built-in knowledge, can adjust their behaviors according to the available implicit information in the environment. This document describes our research in prototyping the CoolAgent Recommendation system (CoolAgent RS). This context- aware software agent system demonstrates the ability to allow contextual information to be freely distributed among agents so that the meaning of that information can be shared and understood. It provides a flexible infrastructure for agents to capture heterogeneous contextual information in the physical world, and represent that uniformly for machine- processes. It also allows agents to negotiate with other agents in the vicinity for contextual information that is not directly accessible through sensing.Item Supporting Human Interactions within Integrated Manufacturing Systems(1998-12-01) Tolone, William J.; Chu, Bei-tseng; Long, Junsheng; Wilhelm, Robert; Finin, Tim; Peng, YunApplication integration is a focus of many major research initiatives. A driving force behind application integration is a desire for enterprise-wide integration of organizational business processes. On the surface, increased application integration appears advantageous – people are freed from mundane tasks and thus can focus on more serious issues. Yet, there are consequences that are not always recognized or appreciated. Specifically, the relevance of human participation within integrated systems often is underdeveloped, thus increasing the potential for integrated systems that dismiss rather than empower users. In this paper, we present the work of one research initiative (CIIMPLEX) that is examining the relevance of human collaborations as part of its manufacturing integration research efforts. The emphasis of the paper is on the principles of the proposed approach rather than details of the current implementation.