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Data Mining For Decision Making In Multi Agent Systems
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Book Synopsis Data Mining for Decision Making in Multi-Agent Systems by : Hani K. Mahdi
Download or read book Data Mining for Decision Making in Multi-Agent Systems written by Hani K. Mahdi and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Andreas L. Symeonidis Publisher :Springer Science & Business Media ISBN 13 :0387257578 Total Pages :216 pages Book Rating :4.3/5 (872 download)
Book Synopsis Agent Intelligence Through Data Mining by : Andreas L. Symeonidis
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.
Book Synopsis Multi-Agent Systems by : Faisal Alkhateeb
Download or read book Multi-Agent Systems written by Faisal Alkhateeb and published by BoD – Books on Demand. This book was released on 2011-04-01 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: A multi-agent system (MAS) is a system composed of multiple interacting intelligent agents. Multi-agent systems can be used to solve problems which are difficult or impossible for an individual agent or monolithic system to solve. Agent systems are open and extensible systems that allow for the deployment of autonomous and proactive software components. Multi-agent systems have been brought up and used in several application domains.
Book Synopsis Agent-Based Computing by : Duarte Bouça
Download or read book Agent-Based Computing written by Duarte Bouça and published by . This book was released on 2010 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multi-agent systems (MAS) often deal with complex applications that require distributed problem solving. In many applications, the individual and collective behaviour of the agents depends on the observed data from distributed sources. This book discusses a number of research issues concerned with the use of Multi-Agent Systems for Data Mining (MADM), also known as agent-driven data mining. In addition, optimisation algorithms are very important in modern research and industrial areas. This book examines one multi-population co-genetic algorithm (MPAGA) with double chain-like agent structure to realise parallel optimisation, combining chain-like agent structure and multi-population parallel searching. Furthermore, this book proposes an efficient modular artificial neural network (ANN) architecture for the intelligent decision making of a robot in a robot soccer systems with different team configurations. Other chapters review the use of radio frequency identification (RFID) technology with supply chain agents and then analyse the security requirements, describe how to design and implement a large-scale multi-agent simulation software, and provide a framework of evacuation simulation for urban hazards such as flooding with effective agent's interaction tools with other agents and the physical environment.
Book Synopsis Agent and Multi-Agent Systems: Technologies and Applications by : Piotr Jedrzejowicz
Download or read book Agent and Multi-Agent Systems: Technologies and Applications written by Piotr Jedrzejowicz and published by Springer. This book was released on 2010-06-18 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 4th KES International Symposium on Agent and Multi-Agent Systems, KES-AMSTA 2010, held in June 2010 in Gdynia, Poland. The discussed field is concerned with the development and analysis of AI-based problem-solving and control architectures for both single-agent and multiple-agent systems. Only 83 papers were selected for publication in both volumes and focus on topics such as: Multi-Agent Systems Design and Implementation, Negotiations and Social Issues, Web Services and Semantic Web, Cooperation, Coordination and Teamwork, Agent-Based Modeling, Simulation and Decision Making, Multi-Agent Applications, Management and e-Business, Mobile Agents and Robots, and Machine Learning.
Book Synopsis Advances on Practical Applications of Agents and Multi-Agent Systems by : Yves Demazeau
Download or read book Advances on Practical Applications of Agents and Multi-Agent Systems written by Yves Demazeau and published by Springer. This book was released on 2013-04-17 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2013, held in Salamanca, Spain, in May 2013. The 14 revised full papers and 9 short papers presented together with 16 demonstrations were carefully reviewed and selected from 70 submissions. The papers report on the application and validation of agent-based models, methods, and technologies in a number of key application areas, including: agents for real world problems; crowd modeling and analysis; decision making and discovery; interaction with artificial agents; mobility, ubiquity and clouds; (multi-)agent design technology; and simulation and organization.
Book Synopsis Data Mining and Multi-agent Integration by : Longbing Cao
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.
Book Synopsis Engineering Intelligent Hybrid Multi-Agent Systems by : Rajiv Khosla
Download or read book Engineering Intelligent Hybrid Multi-Agent Systems written by Rajiv Khosla and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Engineering Intelligent Hybrid Multi-Agent Systems is about building intelligent hybrid systems. Included is coverage of applications and design concepts related to fusion systems, transformation systems and combination systems. These applications are in areas involving hybrid configurations of knowledge-based systems, case-based reasoning, fuzzy systems, artificial neural networks, genetic algorithms, and in knowledge discovery and data mining. Through examples and applications a synergy of these subjects is demonstrated. The authors introduce a multi-agent architectural theory for engineering intelligent associative hybrid systems. The architectural theory is described at both the task structure level and the computational level. This problem-solving architecture is relevant for developing knowledge agents and information agents. An enterprise-wide system modeling framework is outlined to facilitate forward and backward integration of systems developed in the knowledge, information, and data engineering layers of an organization. In the modeling process, software engineering aspects like agent oriented analysis, design and reuse are developed and described. Engineering Intelligent Hybrid Multi-Agent Systems is the first book in the field to provide details of a multi-agent architecture for building intelligent hybrid systems.
Book Synopsis Data Mining by : Bhavani Thuraisingham
Download or read book Data Mining written by Bhavani Thuraisingham and published by CRC Press. This book was released on 2014-01-23 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems, warehousing, machine learning, visualization, decision sup
Book Synopsis Computational Collective Intelligence. Technologies and Applications by : Ngoc Thanh Nguyen
Download or read book Computational Collective Intelligence. Technologies and Applications written by Ngoc Thanh Nguyen and published by Springer. This book was released on 2012-11-28 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volumes set LNCS 7653 and 7654 constitutes the refereed proceedings of the 4th International Conference on Computational Collective Intelligence, ICCCI, held in Ho Chi Minh City, Vietnam, in November 2012. The 113 revised full papers presented were carefully reviewed and selected from 397 submissions. The papers are organized in topical sections on (Part I) knowledge integration; data mining for collective processing; fuzzy, modal, and collective systems; nature inspired systems; language processing systems; social networks and semantic web; agent and multi-agent systems; classification and clustering methods; modeling and optimization techniques for business intelligence; (Part II) multi-dimensional data processing; web systems; intelligent decision making; methods for scheduling; collective intelligence in web systems – web systems analysis; advanced data mining techniques and applications; cooperative problem solving; computational swarm intelligence; and semantic methods for knowledge discovery and communication
Book Synopsis Agent and Multi-Agent Systems by : Piotr Jedrzejowicz
Download or read book Agent and Multi-Agent Systems written by Piotr Jedrzejowicz and published by . This book was released on 2011-03-13 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Agent-Based Hybrid Intelligent Systems by : Zili Zhang
Download or read book Agent-Based Hybrid Intelligent Systems written by Zili Zhang and published by Springer. This book was released on 2004-01-30 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems. This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.
Book Synopsis Intelligent Information Agents by : Matthias Klusch
Download or read book Intelligent Information Agents written by Matthias Klusch and published by Springer. This book was released on 2003-07-01 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents 10 chapters on various aspects of intelligent information agents contributed by members of the respective AgentLink special interest group. The papers are organized in three parts on agent-based information systems, adaptive information agents, and coordination of information agents. Also included are a comprehensive introduction and surveys for each of the three parts.
Book Synopsis Computational Collective Intelligence. Technologies and Applications by : Costin Badica
Download or read book Computational Collective Intelligence. Technologies and Applications written by Costin Badica and published by Springer. This book was released on 2013-09-03 with total page 761 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the 5th International Conference on Computational Collective Intelligence, ICCCI 2013, held in Craiova, Romania, in September 2013. The 72 revised full papers presented were carefully selected from numerous submissions. Conference papers are organized in 16 technical sessions, covering the following topics: intelligent e-learning, classification and clustering methods, web intelligence and interaction, agents and multi-agent systems, social networks, intelligent knowledge management, language processing systems, modeling and optimization techniques, evolutionary computation, intelligent and group decision making, swarm intelligence, data mining techniques and applications, cooperative problem solving, collective intelligence for text mining and innovation, collective intelligence for social understanding and mining, and soft methods in collective intelligence.
Book Synopsis Data Mining of Agent Rules for a Large-scale Multi-agent System by : Soonwon Kim
Download or read book Data Mining of Agent Rules for a Large-scale Multi-agent System written by Soonwon Kim and published by . This book was released on 2002 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Agent and Multi-Agent Systems: Technologies and Applications by : Piotr Jedrzejowicz
Download or read book Agent and Multi-Agent Systems: Technologies and Applications written by Piotr Jedrzejowicz and published by Springer. This book was released on 2010-06-20 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: Simulation and Decision Making, Multi-Agent Applications, Management and e-Business, Mobile Agents and Robots, and Machine Learning. In addition to the main tracks of the symposium there were the following five special sessions: Agent- Based Optimization (ABO2010), Agent-Enabled Social Computing (AESC2010), Digital Economy (DE2010), Using Intelligent Systems for Information Technology Assessment (ISITA2010) and a Doctoral Track. Accepted and presented papers highlight new trends and challenges in agent and multi-agent research. We hope these results will be of value to the research com- nity working in the fields of artificial intelligence, collective computational intel- gence, robotics, machine learning and, in particular, agent and multi-agent systems technologies and applications. We would like to express our sincere thanks to the Honorary Chairs, Romuald Cwilewicz, President of the Gdynia Maritime University, Poland, and Lakhmi C. Jain, University of South Australia, Australia, for their support. Our special thanks go to the Local Organizing Committee chaired by Ireneusz Czarnowski, who did very solid and excellent work. Thanks are due to the Program Co-chairs, all Program and Reviewer Committee members and all the additional - viewers for their valuable efforts in the review process, which helped us to guarantee the highest quality of selected papers for the conference. We cordially thank the - ganizers and chairs of special sessions, which essentially contributed to the success of the conference.
Book Synopsis Research and Development in Intelligent Systems XXIV by : Max Bramer
Download or read book Research and Development in Intelligent Systems XXIV written by Max Bramer and published by Springer Science & Business Media. This book was released on 2007-12-03 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: An agent in a multi-agent system (MAS) has to generate plans for its individual goal, but these plans may con?ict with those that are already being scheduled or executed by other agents. It must also be able to complete its planning and resolution of these con?icts within a reasonable time to have an acceptable quality plan. Although we adopt hierarchical planning (HP, for example, see [7, 12]) using the decision-theoretic planning (DTP) approach [6] for ef?cient planning, it is not trivial to apply HPO to MAS. In HP, appropriate (abstract) plans are selected level by level to maximize the utility U (p), where where p is the expected ?nal plan comprising a sequence of primitive actions. However, in the MAS context, con?icts between agents affect the ef?ciency and quality of resulting plans. When a con?ict is found at lower levels, an additional sophisticated process for avoiding it (con?ict resolution) must be invoked and some extra actions (such as waiting for synchronization and detouring) may have to be added to the plan. The con?ict resolution process may become costly or fail. Even a single con?ict, if it is dif?cult to resolve, will result in a plan with considerably lower quality than it otherwise would have. As a result, in multi-agent systems, the second- or third-best plans may result in better overall performance.