Autonomous Intelligent Systems Multi Agents And Data Mining

Download or read book Autonomous Intelligent Systems: Multi-Agents and Data Mining written by Vladimir Gorodetsky and published by Springer. This book was released on 2007-07-23 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Workshop on Autonomous Intelligent Systems: Agents and Data Mining, AIS-ADM 2007, held in St. Petersburg, Russia in June 2007. The 17 revised full papers and six revised short papers presented together with four invited lectures cover agent and data mining, agent competition and data mining, as well as text mining, semantic Web, and agents.

Download or read book Multiagent Systems written by Gerhard Weiss and published by MIT Press. This book was released on 2013-03-08 with total page 917 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive introduction to multiagent systems and contemporary distributed artificial intelligence that is suitable as a textbook.

Download or read book Autonomous Agents and Multi-agent Systems written by Jiming Liu and published by World Scientific. This book was released on 2001 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: An autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-world tasks, some researchers have started to address the issue of multiagent cooperation. Broadly speaking, the power of autonomous agents lies in their ability to deal with unpredictable, dynamically changing environments. Agent-based systems are becoming one of the most important computer technologies, holding out many promises for solving real-world problems. The aims of this book are to provide a guided tour to the pioneering work and the major technical issues in agent research, and to give an in-depth discussion on the computational mechanisms for behavioral engineering in autonomous agents. Through a systematic examination, the book attempts to provide the general design principles for building autonomous agents and the analytical tools for modeling the emerged behavioral properties of a multiagent system.

Download or read book Autonomous Intelligent Systems: Agents and Data Mining written by Vladimir Gorodetsky and published by Springer. This book was released on 2005-05-20 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the International Workshop Autonomous Intelligent Systems: Agents and Data Mining (AIS-ADM 2005) held in St. Petersburg, Russia, during June 6–8, 2005.

Download or read book Agent Intelligence Through Data Mining written by Andreas L. Symeonidis and published by Springer Science & Business Media. This book was released on 2006-05-06 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the use of data mining for smarter, more efficient agents, as well as the challenge of generating intelligence from data while transferring it to a separate, possibly autonomous, software entity. Following a brief review of data mining and agent technology fields, the book presents a methodology for developing multi-agent systems, describes available open-source tools, and demonstrates the application of the methodology on three different cases.

Download or read book Data Mining and Multi-agent Integration written by Longbing Cao and published by Springer Science & Business Media. This book was released on 2009-07-25 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Multi agent Integration aims to re?ect state of the art research and development of agent mining interaction and integration (for short, agent min ing). The book was motivated by increasing interest and work in the agents data min ing, and vice versa. The interaction and integration comes about from the intrinsic challenges faced by agent technology and data mining respectively; for instance, multi agent systems face the problem of enhancing agent learning capability, and avoiding the uncertainty of self organization and intelligence emergence. Data min ing, if integrated into agent systems, can greatly enhance the learning skills of agents, and assist agents with predication of future states, thus initiating follow up action or intervention. The data mining community is now struggling with mining distributed, interactive and heterogeneous data sources. Agents can be used to man age such data sources for data access, monitoring, integration, and pattern merging from the infrastructure, gateway, message passing and pattern delivery perspectives. These two examples illustrate the potential of agent mining in handling challenges in respective communities. There is an excellent opportunity to create innovative, dual agent mining interac tion and integration technology, tools and systems which will deliver results in one new technology.

Download or read book Multi-Agent Oriented Programming written by Olivier Boissier and published by MIT Press. This book was released on 2020-09-15 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main concepts and techniques of multi-agent oriented programming, which supports the multi-agent systems paradigm at the programming level. A multi-agent system is an organized ensemble of autonomous, intelligent, goal-oriented entities called agents, communicating with each other and interacting within an environment. This book introduces the main concepts and techniques of multi-agent oriented programming, (MAOP) which supports the multi-agent systems paradigm at the programming level. MAOP provides a structured approach based on three integrated dimensions, which the book examines in detail: the agent dimension, used to design the individual (interacting) entities; the environment dimension, which allows the development of shared resources and connections to the real world; and the organization dimension, which structures the interactions among the autonomous agents and the shared environment.