Human cognitive processes and defense mechanisms, as described in psychoanalysis, bring about new notions and paradigms for artificial intelligence systems. One key reason is that the human cognitive processes and defense mechanisms in question can accomplish conflict detection functionalities, filter functionalities, and other system stabilizing tasks within artificial intelligence systems. Yet artificial cognitive architectures lack the capability to analyze complex situations as well as the universal competencies needed to orientate themselves in complex environments in various domains. Psychoanalytic Defense Mechanisms in Cognitive Multi-Agent Systems addresses this dilemma by exploring how to describe, model, and implement psychoanalytic defense mechanisms in the course of a project that provides a functional model of the human mind.
With discussions focusing on the development of a mathematical description for the implementation of conflict detection, the activation and selection of defense mechanisms, and the processing of defense mechanisms, Psychoanalytic Defense Mechanisms in Cognitive Multi-Agent Systems describes the decisive points for the application of defense mechanisms in artificial intelligence. Formulae that treat defense mechanisms as transformations are also provided. Interdisciplinary cooperation between the scientific fields of psychoanalysis and artificial intelligence is highlighted as the foundation of new research findings throughout the book.
Innovative and exciting, this book will be of great interest to academics, researchers, and postgraduates in the fields of cognitive science, artificial intelligence, and psychoanalysis.
Автор: David P. Buse; Q.H. Wu Название: IP Network-based Multi-agent Systems for Industrial Automation ISBN: 1849966354 ISBN-13(EAN): 9781849966351 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details the use of the Internet protocol suite and multi-agent systems for the information management, online monitoring, and control of distributed power system substations. It proposes an open architecture for information management and control, based on the concepts of multi-agent systems and mobile agents.
Описание: The application and validation of agent-based models.- Methods, and technologies in a number of key application areas.- In day life and real world, energy and networks, human and trust, markets and bids, models and tools, negotiation and conversation, scalability and resources.
Автор: Shigeyoshi Tsutsui; Pierre Collet Название: Massively Parallel Evolutionary Computation on GPGPUs ISBN: 3662513455 ISBN-13(EAN): 9783662513453 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recent advances in general-purpose computing on graphics processing units (GPGPU) have opened up the possibility for parallel evolutionary algorithms. This book details this exciting new approach, with emphasis on solving practical problems.
Описание: This bookgives a start-to-finish overview of the whole Fish4Knowledge project, in 18short chapters, each describing one aspect of the project.
Автор: Baldoni Название: PRIMA 2016: Princiles and Practice of Multi-Agent Systems ISBN: 3319448315 ISBN-13(EAN): 9783319448312 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 19th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2016, held in Phuket, Thailand, in August 22-26, 2016.The 16 revised full papers presented together with two invited papers, 9 short papers and three extended abstracts were carefully reviewed and selected from 50 submissions. The intention of the papers is to showcase research in several domains, ranging from foundations of agent theory and engineering aspects of agent systems, to emerging interdisciplinary areas of agent-based research.
Описание: In today's society the issue of security has become a crucial one. The use of knowledge-based technology in security applications emerges with important
applications in monitoring, control, crisis, and rescue management. This volume contains extended and improved versions of selected contributions presented at the International
Workshop "Monitoring, Security and Rescue Techniques in Multiagent Systems" (MSRAS 2004) held in Plock, Poland, June 7-9, 2004, bringing together the world's leading
researchers in the field.
Автор: Bui The Duy; Tuong Vinh Ho; Quang Thuy Ha Название: Intelligent Agents and Multi-Agent Systems ISBN: 3540896732 ISBN-13(EAN): 9783540896739 Издательство: Springer Рейтинг: Цена: 12157.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the proceedings of the 11th Pacific Rim International Conference on Multi-Agents, PRIMA 2008, held in Hanoi, Vietnam, in December 2008. This title addresses subjects in multi-agent research and development, ranging from theoretical and methodological issues to various applications in different fields.
Автор: Quan Bai; Fenghui Ren; Katsuhide Fujita; Minjie Zh Название: Multi-agent and Complex Systems ISBN: 9811025630 ISBN-13(EAN): 9789811025631 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches.
Автор: Maria Chli; Philippe de Wilde Название: Convergence and Knowledge Processing in Multi-Agent Systems ISBN: 1849968217 ISBN-13(EAN): 9781849968218 Издательство: Springer Рейтинг: Цена: 16070.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Agent systems are being used to model complex systems like societies, markets and biological systems. This book sheds light upon the complex interrelation between interactivity/exchange and convergence in multi-agent systems, for the first time.
Описание: This volume presents the papers that have been accepted for the 2015 special sessions of the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems, held at University of Salamanca, Spain, at 3rd-5th June, 2015: Agents Behaviours and Artificial Markets (ABAM);
Автор: Chao Zhang, Jiawei Han Название: Multidimensional Mining of Massive Text Data ISBN: 1681735210 ISBN-13(EAN): 9781681735214 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 14692.00 р. Наличие на складе: Нет в наличии.
Описание: Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many emerging applications, people's information need from text data is becoming multidimensional—they demand useful insights along multiple aspects from a text corpus. However, acquiring such multidimensional knowledge from massive text data remains a challenging task. This book presents data mining techniques that turn unstructured text data into multidimensional knowledge. We investigate two core questions. (1) How does one identify task-relevant text data with declarative queries in multiple dimensions? (2) How does one distill knowledge from text data in a multidimensional space? To address the above questions, we develop a text cube framework. First, we develop a cube construction module that organizes unstructured data into a cube structure, by discovering latent multidimensional and multi-granular structure from the unstructured text corpus and allocating documents into the structure. Second, we develop a cube exploitation module that models multiple dimensions in the cube space, thereby distilling from user-selected data multidimensional knowledge. Together, these two modules constitute an integrated pipeline: leveraging the cube structure, users can perform multidimensional, multigranular data selection with declarative queries; and with cube exploitation algorithms, users can extract multidimensional patterns from the selected data for decision making. The proposed framework has two distinctive advantages when turning text data into multidimensional knowledge: flexibility and label-efficiency. First, it enables acquiring multidimensional knowledge flexibly, as the cube structure allows users to easily identify task-relevant data along multiple dimensions at varied granularities and further distill multidimensional knowledge. Second, the algorithms for cube construction and exploitation require little supervision; this makes the framework appealing for many applications where labeled data are expensive to obtain.
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