Distributed intelligent agents

Abstract

We are investigating techniques for developing distributed and adaptive collections of agents that coordinate to retrieve, lter and fuse information relevant to the user, task and situation, as well as anticipate a user's information needs. In our system of agents, information gathering is seamlessly integrated with decision support. The task for which particular information is requested of the agents does not remain in the user's head but it is explicitly represented and supported through agent collaboration. In this paper we present the distributed system architecture, agent collaboration interactions, and a reusable set of software components for constructing agents. We call this reusable multi-agent computational infrastructure RETSINA Reusable Task Structure-based Intelligent Network Agents. It has three types of agents. Interface agents interact with the user receiving user speci cations and delivering results. They acquire, model, and utilize user preferences to guide system coordination in support of the user's tasks. Task agents help users perform tasks by formulating problem solving plans and carrying out these plans through querying and exchanging information with other software agents. Information agents provide intelligent access to a heterogeneous collection of information sources. We h a ve implemented this system framework and are developing collaborating agents in diverse complex real world tasks, such as organizational decision making the PLEIADES system, and nancial portfolio management the WARREN system.

Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web

“…In [30] a distributed multi-agent model for the information gathering is deÿned. This model develops the retrieval activity by considering ÿve action levels: internet users, interface agents, task agents, information agents and information sources.…”

Agent-based approach for manufacturing integration: The ciimplex experience

“…Works such as ZEUS (Nwana et al, 1998), dMARS based on Procedural Reasoning System (Georgeff and Lansky, 1987), ADEPT (Jennings et al, 1996) and RETSINA (Sycara et al, 1996) attempts to provide generic agent construction environment and toolkits or general agent architecture. Our work can be seen as more of a point solution, although some techniques from this work, such as Jackal, can be used as a generalpurpose communication infrastructure for KQML-speaking agents.…”

Suitability of Agent Technology for Military Command and Control in the Future Combat System Environment

“…A representative architecture by Sycara et al 23 proposes planning, communication and coordination, scheduling, and execution monitoring of agent activities. In this architecture, the agents have access to shared information, typically implemented through a coordination model that can be domain specific or domain independent.…”