Evolving a multi-agent information filtering solution in Amalthaea

Published 1 January 1997Open access

Alexandros Moukas, Giorgos Zacharia

Citations57

TL;DR

A market-like ecosystem where the agents evolve, compete and collaborate is presented: agents that are usefull to the user or other agents reproduce while low-performing agents are destroyed.

Abstract

Amalthaea is an evolving, multiagent ecosystem for personalized filtering, discovery and monitoring of information sites. Amalthaea&apos;s primary application domain is the World-Wide-Web and its main purpose is to assist its users in finding interesting information. Two different categories of agents are introduced in the system: filtering agents that model and monitor the interests of the user and discovery agents that model the information sources. A market-like ecosystem where the agents evolve, compete and collaborate is presented: agents that are useful to the user or other agents reproduce while low-performing agents are destroyed. Results from various experiments with different system configurations and varying ratios of user interests vs agents in the system are presented. Finally issues like fine-tuning the initial parameters of the system and establishing and maintaining equilibria in the ecosystem are discussed.

Keywords

Computer Science

Information Processing & ManagementTerm-weighting approaches in automatic text retrieval

9,532 Citations1988Gerard Salton, Chris Buckley

This paper summarizes the insights gained in automatic term weighting, and provides baseline single term indexing models with which other more elaborate content analysis procedures can be compared.

Springer series in information sciencesSelf-Organization and Associative Memory

8,770 Citations1989Teuvo Kohonen

Program electronic library and information systemsAn algorithm for suffix stripping

8,136 Citations1980Martin Porter

An algorithm for suffix stripping is described, which has been implemented as a short, fast program in BCPL, and performs slightly better than a much more elaborate system with which it has been compared.

Communications of the ACMInformation filtering and information retrieval

1,288 Citations1992Nicholas J. Belkin, W. Bruce Croft

Models of information retrieval and filtering, and lessons for filtering from retrieval research are presented; users see only the data that is extracted.

View PDF

Springer eBooksSelf-organization and associative memory: 3rd edition

1,230 Citations1989T. Kohonen

This work prospectively examined the association between magnesium intake and incidence of Type 2 diabetes in a general Japanese population.

View PDF

Letizia: an agent that assists web browsing

1,133 Citations1995Henry Lieberman

Letizia is a user interface agent that assists a user browsing the World Wide Web by automates a browsing strategy consisting of a best-first search augmented by heuristics inferring user interest from browsing behavior.

WebWatcher: A Learning Apprentice for the World Wide Web

496 Citations1995R. Armstrong, Dayne Freitag +2 more

An information seeking assistant for the world wide web, called WebWatcher, interactively helps users locate desired information by employing learned knowledge about which hyperlinks are likely to lead to the target information.

Evolving agents for personalized information filtering

227 Citations2002B. Sheth, Pattie Maes

Results of a set of experiments are presented in which a small population of information filtering agents was evolved to make a personalized selection of news articles from the USENET newsgroups, showing that the artificial evolution component of the system is responsible for improving the recall rate of the selected set of articles, while learning from feedback component improves the precision rate.

A semantics approach for KQML---a general purpose communication language for software agents

207 Citations1994Yannis Labrou, Tim Finin

It is suggested that KQML can offer an all purpose communication language for software agents that requires no limiting pre-commitments on the agents' structure and implementation and a semantic framework for the language is proposed.

National Conference on Artificial IntelligenceLearning Information Retrieval Agents: Experiments with Automated Web Browsing

180 Citations1995Marko Balabanovi, Yoav Shoham

A system which helps users keep abreast of new and interesting information Every day it presents a selection of interesting web pages, and the user evaluates each page, and given feedback the system adapts and attempts to produce better pages the following day.