Download Full eBooks in PDF
Advances In Modeling Adaptive And Cognitive Systems Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Advances In Modeling Adaptive And Cognitive Systems book. This book definitely worth reading, it is an incredibly well-written.
Author : Angelo Loula and João Queiroz
Publisher : Angelo Conrado Loula
Page : 116 pages
File Size : 53,6 Mb
Release : 2024-06-03
Category : Electronic
ISBN : 9788573951943
Author : Alex Kirlik
Publisher : Oxford University Press
Page : 336 pages
File Size : 42,8 Mb
Release : 2006-05-04
Category : Technology & Engineering
ISBN : 0195346777
In everyday life, and particularly in the modern workplace, information technology and automation increasingly mediate, augment, and sometimes even interfere with how humans interact with their environment. How to understand and support cognition in human-technology interaction is both a practically and socially relevant problem. The chapters in this volume frame this problem in adaptive terms: How are behavior and cognition adapted, or perhaps ill-adapted, to the demands and opportunities of an environment where interaction is mediated by tools and technology? The authors draw heavily on the work of Egon Brunswik, a pioneer in ecological and cognitive psychology, as well as on modern refinements and extensions of Brunswikian ideas, including Hammond's Social Judgment Theory, Gigerenzer's Ecological Rationality and Anderson's Rational Analysis. Inspired by Brunswik's view of cognition as "coming to terms" with the "casual texture" of the external world, the chapters in this volume provide quantitative and computational models and measures for studying how people come to terms with an increasingly technological ecology, and provide insights for supporting cognition and performance through design, training, and other interventions. The methods, models, and measures presented in this book provide timely and important resources for addressing problems in the rapidly growing field of human-technology interaction. The book will be of interest to researchers, students, and practitioners in human factors, cognitive engineering, human-computer interaction, judgment and decision making, and cognitive science.
Author : Horne, Jeremy
Publisher : IGI Global
Page : 402 pages
File Size : 52,6 Mb
Release : 2017-05-19
Category : Philosophy
ISBN : 9781522524441
Strong reasoning skills are an important aspect to cultivate in life, as they directly impact decision making on a daily basis. By examining the different ways the world views logic and order, new methods and techniques can be employed to help expand on this skill further in the future. Philosophical Perceptions on Logic and Order is a pivotal scholarly resource that discusses the evolution of logical reasoning and future applications for these types of processes. Highlighting relevant topics including logic patterns, deductive logic, and inductive logic, this publication is an ideal reference source for academicians, students, and researchers that would like to expand their understanding of how society currently employs the use of logical reasoning techniques.
Author : Wolfgang Prinz,Miriam Beisert,Arvid Herwig
Publisher : MIT Press
Page : 467 pages
File Size : 42,6 Mb
Release : 2013-02-01
Category : Science
ISBN : 9780262312981
An overview of today's diverse theoretical and methodological approaches to action and the relationship of action and cognition. The emerging field of action science is characterized by a diversity of theoretical and methodological approaches that share the basic functional belief that evolution has optimized cognitive systems to serve the demands of action. This book brings together the constitutive approaches of action science in a single source, covering the relation of action to such cognitive functions as perception, attention, memory, and volition. Each chapter offers a tutorial-like description of a major line of inquiry, written by a leading scientist in the field. Taken together, the chapters reflect a dynamic and rapidly growing field and provide a forum for comparison and possible integration of approaches. After discussing core questions about how actions are controlled and learned, the book considers ecological approaches to action science; neurocogntive approaches to action understanding and attention; developmental approaches to action science; social actions, including imitation and joint action; and the relationships between action and the conceptual system (grounded cognition) and between volition and action. An emerging discipline depends on a rich and multifaceted supply of theoretical and methodological approaches. The diversity of perspectives offered in this book will serve as a guide for future explorations in action science. Contributors Lawrence W. Barsalou, Miriam Beisert, Valerian Chambon, Thomas Goschke, Patrick Haggard, Arvid Herwig, Herbert Heuer, Cecilia Heyes, Bernhard Hommel, Glyn W. Humphreys, Richard B. Ivry, Markus Kiefer, Günther Knoblich, Sally A. Linkenauger, Janeen D. Loehr, Peter J. Marshall, Andrew N. Meltzoff, Wolfgang Prinz, Dennis R. Proffitt, Giacomo Rizzolatti, David A. Rosenbaum, Natalie Sebanz, Corrado Sinigaglia, Sandra Sülzenbrück, Jordan A. Taylor, Michael T. Turvey, Claes von Hofsten, Rebecca A. Williamson
Author : Huaguang Zhang,Amir Hussain,Derong Liu,Zhanshan Wang
Publisher : Springer
Page : 421 pages
File Size : 54,8 Mb
Release : 2012-07-23
Category : Computers
ISBN : 9783642315619
This book constitutes the refereed proceedings of the 5th International Conference on Brain Inspired Cognitive Systems, BICS 2012, held in Shenyang, Liaoning, China in July 2012. The 46 high-quality papers presented were carefully reviewed and selected from 116 submissions. The papers are organized in topical sections on biologically inspired systems, cognitive neuroscience, models of consciousness, and neural computation.
Author : Wayne D. Gray
Publisher : Oxford University Press
Page : 544 pages
File Size : 52,8 Mb
Release : 2007-04-19
Category : Psychology
ISBN : 9780190293390
The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that the cognitive modeling community is tackling focus on modeling certain problems of communication and control that arise when integrating with the external environment factors such as implicit and explicit knowledge, emotion, cognition, and the cognitive system. These problems must be solved in order to produce integrated cognitive models of moderately complex tasks. Architectures of cognition in these tasks focus on the control of a central system, which includes control of the central processor itself, initiation of functional processes, such as visual search and memory retrieval, and harvesting the results of these functional processes. Because the control of the central system is conceptually different from the internal control required by individual functional processes, a complete architecture of cognition must incorporate two types of theories of control: Type 1 theories of the structure, functionality, and operation of the controller, and type 2 theories of the internal control of functional processes, including how and what they communicate to the controller. This book presents the current state of the art for both types of theories, as well as contrasts among current approaches to human-performance models. It will be an important resource for professional and student researchers in cognitive science, cognitive-engineering, and human-factors. Contributors: Kevin A. Gluck, Jerry T. Ball, Michael A. Krusmark, Richard W. Pew, Chris R. Sims, Vladislav D. Veksler, John R. Anderson, Ron Sun, Nicholas L. Cassimatis, Randy J. Brou, Andrew D. Egerton, Stephanie M. Doane, Christopher W. Myers, Hansjörg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A. Rensink, Hansjörg Neth, Chris R. Sims, Peter M. Todd, Lael J. Schooler, Wai-Tat Fu, Michael C. Mozer, Sachiko Kinoshita, Michael Shettel, Alex Kirlik, Vladislav D. Veksler, Michael J. Schoelles, Jerome R. Busemeyer, Eric Dimperio, Ryan K. Jessup, Jonathan Gratch, Stacy Marsella, Glenn Gunzelmann, Kevin A. Gluck, Scott Price, Hans P. A. Van Dongen, David F. Dinges, Frank E. Ritter, Andrew L. Reifers, Laura Cousino Klein, Michael J. Schoelles, Eva Hudlicka, Hansjörg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommershäuser, Michael S. Landy, A. Hornof, Michael J. Schoelles, David Kieras, Dario D. Salvucci, Niels Taatgen, Erik M. Altmann, Richard A. Carlson, Andrew Howes, Richard L. Lewis, Alonso Vera, Richard P. Cooper, and Michael D. Byrne
Author : Derong Liu,Cesare Alippi,Dongbin Zhao,Amir Hussain
Publisher : Springer
Page : 418 pages
File Size : 49,6 Mb
Release : 2013-06-03
Category : Computers
ISBN : 9783642387869
This book constitutes the refereed proceedings of the 6th International Conference on Brain Inspired Cognitive Systems, BICS 2013, held in Beijing, China in June 2013. The 45 high-quality papers presented were carefully reviewed and selected from 68 submissions. BICS 2013 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of brain inspired cognitive systems research and applications in diverse fields.
Author : Ted Carmichael,Andrew J. Collins,Mirsad Hadžikadić
Publisher : Springer
Page : 250 pages
File Size : 40,7 Mb
Release : 2019-06-14
Category : Technology & Engineering
ISBN : 9783030203092
This book emerged out of international conferences organized as part of the AAAI Fall Symposia series, and the Swarmfest 2017 conference. It brings together researchers from diverse fields studying these complex systems using CAS and agent-based modeling tools and techniques. In the past, the knowledge gained in each domain has largely remained exclusive to that domain. By bringing together scholars who study these phenomena, the book takes knowledge from one domain to provide insight into others. Most interesting phenomena in natural and social systems include constant transitions and oscillations among their various phases – wars, companies, societies, markets, and humans rarely stay in a stable, predictable state for long. Randomness, power laws, and human behavior ensure that the future is both unknown and challenging. How do events unfold? When do they take hold? Why do some initial events cause an avalanche while others do not? What characterizes these events? What are the thresholds that differentiate a sea change from a non-event? Complex adaptive systems (CAS) have proven to be a powerful tool for exploring these and other related phenomena. The authors characterize a general CAS model as having a large number of self-similar agents that: 1) utilize one or more levels of feedback; 2) exhibit emergent properties and self-organization; and 3) produce non-linear dynamic behavior. Advances in modeling and computing technology have led not only to a deeper understanding of complex systems in many areas, but they have also raised the possibility that similar fundamental principles may be at work across these systems, even though the underlying principles may manifest themselves differently.
Author : Jinchang Ren,Amir Hussain,Huimin Zhao,Kaizhu Huang,Jiangbin Zheng,Jun Cai,Rongjun Chen,Yinyin Xiao
Publisher : Springer Nature
Page : 606 pages
File Size : 47,9 Mb
Release : 2020-01-31
Category : Computers
ISBN : 9783030394318
This book constitutes the refereed proceedings of the 10th International Conference on Advances in Brain Inspired Cognitive Systems, BICS 2019, held in Guangzhou, China, in July 2019. The 57 papers presented in this volume were carefully reviewed and selected from 129 submissions. The papers are organized in topical sections named: neural computation; biologically inspired systems; image recognition: detection, tracking and classification; and data analysis and natural language processing.
Author : Chris Forsythe,Michael L. Bernard,Timothy E. Goldsmith
Publisher : Psychology Press
Page : 344 pages
File Size : 48,9 Mb
Release : 2006-08-15
Category : Computers
ISBN : 9781135605377
The leading thinkers from the cognitive science tradition participated in a workshop sponsored by Sandia National Laboratories in July of 2003 to discuss progress in building their models. The goal was to summarize the theoretical and empirical bases for cognitive systems and to present exemplary developments in the field. Following the workshop, a great deal of planning went into the creation of this book. Eleven of the twenty-six presenters were asked to contribute chapters, and four chapters are the product of the breakout sessions in which critical topics were discussed among the participants. An introductory chapter provides the context for this compilation. Cognitive Systems thus presents a unique merger of cognitive modeling and intelligent systems, and attempts to overcome many of the problems inherent in current expert systems. It will be of interest to researchers and students in the fields of cognitive science, computational modeling, intelligent systems, artificial intelligence, and human-computer interaction.
Author : Richard G.M. Morris,Lionel Tarassenko,Michael Kenward
Publisher : Elsevier
Page : 310 pages
File Size : 55,8 Mb
Release : 2005-08-16
Category : Psychology
ISBN : 9780080458267
Cognitive Systems - Information Processing Meets Brain Science presents an overview of the exciting, truly multidisciplinary research by neuroscientists and systems engineers in the emerging field of cognitive systems, providing a cross-disciplinary examination of this cutting-edge area of scientific research. This is a great example of where research in very different disciplines touches to create a new emerging area of research. The book illustrates some of the technical developments that could arise from our growing understanding of how living cognitive systems behave, and the ability to use that knowledge in the design of artificial systems. This unique book is of considerable interest to researchers and students in information science, neuroscience, psychology, engineering and adjacent fields. Represents a remarkable collection of relevant experts from both the life sciences and computer science Includes state-of-the-art reviews of topics in cognitive systems from both a life sciences and a computer science perspective Discusses the impact of this research on our lives in the near future
Author : Fred Adams,Osvaldo Pessoa Jr.,Joao E. Kogler Jr.
Publisher : Vernon Press
Page : 324 pages
File Size : 43,9 Mb
Release : 2019-04-18
Category : Science
ISBN : 9781622731114
This book consists of an edited collection of original essays of the highest academic quality by seasoned experts in their fields of cognitive science. The essays are interdisciplinary, drawing from many of the fields known collectively as “the cognitive sciences.” Topics discussed represent a significant cross-section of the most current and interesting issues in cognitive science. Specific topics include matters regarding machine learning and cognitive architecture, the nature of cognitive content, the relationship of information to cognition, the role of language and communication in cognition, the nature of embodied cognition, selective topics in visual cognition, brain connectivity, computation and simulation, social and technological issues within the cognitive sciences, and significant issues in the history of neuroscience. This book will be of interest to both professional researchers and newer students and graduate students in the fields of cognitive science—including computer science, linguistics, philosophy, psychology and neuroscience. The essays are in English and are designed to be as free as possible of technical jargon and therefore accessible to young scholars and to scholars who are new to the cognitive neurosciences. In addition to several entries by single authors, the book contains several interesting roundtables where researchers contribute answers to a central question presented to those in the focus group on one of the core areas listed above. This exciting approach provides a variety of perspectives from across disciplines on topics of current concern in the cognitive sciences.
Author : Muaz A Niazi,Amir Hussain
Publisher : Springer Science & Business Media
Page : 55 pages
File Size : 42,5 Mb
Release : 2012-10-31
Category : Medical
ISBN : 9789400738522
Complex Systems are made up of numerous interacting sub-components. Non-linear interactions of these components or agents give rise to emergent behavior observable at the global scale. Agent-based modeling and simulation is a proven paradigm which has previously been used for effective computational modeling of complex systems in various domains. Because of its popular use across different scientific domains, research in agent-based modeling has primarily been vertical in nature. The goal of this manuscript is to provide a single hands-on guide to developing cognitive agent-based models for the exploration of emergence across various types of complex systems. We present practical ideas and examples for researchers and practitioners for the building of agent-based models using a horizontal approach - applications are demonstrated in a number of exciting domains as diverse as wireless sensors networks, peer-to-peer networks, complex social systems, research networks, epidemiological HIV
Author : Daniel N. Cassenti
Publisher : Springer
Page : 597 pages
File Size : 54,6 Mb
Release : 2017-06-13
Category : Technology & Engineering
ISBN : 9783319605913
This book focuses on computational modeling and simulation research that advances the current state-of-the-art regarding human factors in simulation and applied digital human modeling. It reports on cutting-edge simulators such as virtual and augmented reality, on multisensory environments, and on modeling and simulation methods used in various applications, such as surgery, military operations, occupational safety, sports training, education, transportation and robotics. Based on the AHFE 2017 International Conference on Human Factors in Simulation and Modeling, held on July 17–21, 2017, in Los Angeles, California, USA, the book is intended as a timely reference guide for researchers and practitioners developing new modeling and simulation tools for analyzing or improving human performance. It also offers a unique resource for modelers seeking insights into human factors research and more feasible and reliable computational tools to foster advances in this exciting research field.
Author : Yiannis Boutalis,Dimitrios Theodoridis,Theodore Kottas,Manolis A. Christodoulou
Publisher : Springer Science & Business
Page : 313 pages
File Size : 49,9 Mb
Release : 2014-04-23
Category : Technology & Engineering
ISBN : 9783319063645
Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.