<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">James Moffat</style></author><author><style face="normal" font="default" size="100%">Susan Witty</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Experimental Validation Of Metamodels For Intelligent Agents In Conflict</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">agent-based simulation</style></keyword><keyword><style  face="normal" font="default" size="100%">cellular automata model of conflict</style></keyword><keyword><style  face="normal" font="default" size="100%">dynamics of conflict</style></keyword><keyword><style  face="normal" font="default" size="100%">fractal clustering.</style></keyword><keyword><style  face="normal" font="default" size="100%">Intelligent Agents</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2003</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2003</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">12</style></volume><pages><style face="normal" font="default" size="100%">95-103</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In previous papers, the authors have described a theoretical approach to the development of mathematical meta-models, which aim to capture the emergent behaviour of intelligent agent-based constructive simulation models of military conflict. These intelligent agents capture the process of C4ISR (Command, Control, Communications, Computers, Intelligence Surveillance and Reconnaissance) in such agent-based simulation models. In this paper, the authors present both historical evidence and evidence from experiments using cellular automata models that support hypotheses derived from their theory.</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue><section><style face="normal" font="default" size="100%">95</style></section></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">David Camacho</style></author><author><style face="normal" font="default" size="100%">José M.Molina</style></author><author><style face="normal" font="default" size="100%">Daniel Borrajo</style></author><author><style face="normal" font="default" size="100%">Ricardo Aler</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">MAPWEB: Cooperation between Planning Agents and Web Agents</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Agent Architecture</style></keyword><keyword><style  face="normal" font="default" size="100%">Information System</style></keyword><keyword><style  face="normal" font="default" size="100%">Intelligent Agents</style></keyword><keyword><style  face="normal" font="default" size="100%">Multi-Agent Systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Planning</style></keyword><keyword><style  face="normal" font="default" size="100%">Web Agents</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2002</style></year></dates><volume><style face="normal" font="default" size="100%">8</style></volume><pages><style face="normal" font="default" size="100%">209-238</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">The paper presents MAPWEB (Multi-Agent Planning on the Web), a multi-agent system for cooperative work between different intelligent software agents whose main goal is to solve user planning problems using the information stored in the World Wide Web (WEB). MAPWEB is made of heterogeneous mixture of intelligent agents whose main characteristics are cooperation, reasoning, and knowledge sharing. The architecture of MAPWEB uses four types of agents: UserAgents that are the bridge between the users and the system; ControlAgents (Manager and Coach Agents) that are responsible for managing the rest of the agents; PlannerAgents that are able to solve planning problems; and, finally, WebAgents whose aim is to retrieve, represent, and share information obtained from the WEB. MAPWEB solves planning problems by means of cooperation between PlannerAgents and WebAgents. Instead of using the PlannerAgent to solve the whole planning problem, the PlannerAgent focuses on a less restricted (and therefore easier to solve) problem (what we call an abstract problem) and cooperates with the WebAgents to validate and complete abstract solutions. In order for cooperation to take place, a common language and data structures have also been defined.</style></abstract><issue><style face="normal" font="default" size="100%">2</style></issue></record></records></xml>