Computational Models Volume I

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Computational Models of Argument

H. Prakken,S. Bistarelli,F. Santini
Computational Models of Argument Book PDF

Author : H. Prakken,S. Bistarelli,F. Santini
Publisher : IOS Press
Page : 498 pages
File Size : 40,5 Mb
Release : 2020-09-25
Category : Computers
ISBN : 9781643681078

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Computational Models of Argument by H. Prakken,S. Bistarelli,F. Santini Pdf

The investigation of computational models of argument is a rich and fascinating interdisciplinary research field with two ultimate aims: the theoretical goal of understanding argumentation as a cognitive phenomenon by modeling it in computer programs, and the practical goal of supporting the development of computer-based systems able to engage in argumentation-related activities with human users or among themselves. The biennial International Conferences on Computational Models of Argument (COMMA) provide a dedicated forum for the presentation and discussion of the latest advancements in the field, and cover both basic research and innovative applications. This book presents the proceedings of COMMA 2020. Due to the Covid-19 pandemic, COMMA 2020 was held as an online event on the originally scheduled dates of 8 -11 September 2020, organised by the University of Perugia, Italy. The book includes 28 full papers and 13 short papers selected from a total of 78 submissions, the abstracts of 3 invited talks and 13 demonstration abstracts. The interdisciplinary nature of the field is reflected, and contributions cover both theory and practice. Theoretical contributions include new formal models, the study of formal or computational properties of models, designs for implemented systems and experimental research. Practical papers include applications to medicine, law and criminal investigation, chatbots and online product reviews. The argument-mining trend from previous COMMA’s is continued, while an emerging trend this year is the use of argumentation for explainable AI. The book provided an overview of the latest work on computational models of argument, and will be of interest to all those working in the field.

Simulating Organizations

Michael J. Prietula,Kathleen M. Carley,Leslie George Gasser
Simulating Organizations Book PDF

Author : Michael J. Prietula,Kathleen M. Carley,Leslie George Gasser
Publisher : AAAI Press
Page : 0 pages
File Size : 52,9 Mb
Release : 1998
Category : Artificial intelligence
ISBN : 026266108X

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Simulating Organizations by Michael J. Prietula,Kathleen M. Carley,Leslie George Gasser Pdf

Computer modelling is increasingly being used as a tool in the social and organizational sciences. Researchers use it to gain insights into organizational phenomena and to explore dynamic processes and configurations. This volume brings together work from researchers in this field.

Computational Models of Complex Systems

Vijay Kumar Mago,Vahid Dabbaghian
Computational Models of Complex Systems Book PDF

Author : Vijay Kumar Mago,Vahid Dabbaghian
Publisher : Springer Science & Business Media
Page : 196 pages
File Size : 42,8 Mb
Release : 2013-10-31
Category : Technology & Engineering
ISBN : 9783319012858

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Computational Models of Complex Systems by Vijay Kumar Mago,Vahid Dabbaghian Pdf

Computational and mathematical models provide us with the opportunities to investigate the complexities of real world problems. They allow us to apply our best analytical methods to define problems in a clearly mathematical manner and exhaustively test our solutions before committing expensive resources. This is made possible by assuming parameter(s) in a bounded environment, allowing for controllable experimentation, not always possible in live scenarios. For example, simulation of computational models allows the testing of theories in a manner that is both fundamentally deductive and experimental in nature. The main ingredients for such research ideas come from multiple disciplines and the importance of interdisciplinary research is well recognized by the scientific community. This book provides a window to the novel endeavours of the research communities to present their works by highlighting the value of computational modelling as a research tool when investigating complex systems. We hope that the readers will have stimulating experiences to pursue research in these directions.

Introduction to Elementary Computational Modeling

Jose Garrido
Introduction to Elementary Computational Modeling Book PDF

Author : Jose Garrido
Publisher : CRC Press
Page : 331 pages
File Size : 55,5 Mb
Release : 2011-10-26
Category : Mathematics
ISBN : 9781439867396

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Introduction to Elementary Computational Modeling by Jose Garrido Pdf

With an emphasis on problem solving, this book introduces the basic principles and fundamental concepts of computational modeling. It emphasizes reasoning and conceptualizing problems, the elementary mathematical modeling, and the implementation using computing concepts and principles. Examples are included that demonstrate the computation and visualization of the implemented models. The author provides case studies, along with an overview of computational models and their development. The first part of the text presents the basic concepts of models and techniques for designing and implementing problem solutions. It applies standard pseudo-code constructs and flowcharts for designing models. The second part covers model implementation with basic programming constructs using MATLAB®, Octave, and FreeMat. Aimed at beginning students in computer science, mathematics, statistics, and engineering, Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving focuses on fundamentals, helping the next generation of scientists and engineers hone their problem solving skills.

Computational Models of Reading

Erik D. Reichle
Computational Models of Reading Book PDF

Author : Erik D. Reichle
Publisher : Oxford University Press
Page : 609 pages
File Size : 51,6 Mb
Release : 2021
Category : Computers
ISBN : 9780195370669

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Computational Models of Reading by Erik D. Reichle Pdf

"This book describes computational models of reading, or models that simulate and explain the mental processes that support the reading of text. The book provides introductory chapters on both reading research and computer models. The central chapters of the book then review what has been learned about reading from empirical research on four core reading processes: word identification, sentence processing, discourse representation, and how these three processes are coordinated with visual processing, attention, and eye-movement control. These central chapters also review an influential sample of computer models that have been developed to explain these key empirical findings, as well as comparative analyses of those models. The final chapter attempts to integrate this empirical and theoretical work be both describing a new comprehensive model of reading, Über-Reader, and reporting several simulations to illustrate how the model accounts for many of the basic phenomena related to reading"--

Computational Models of Brain and Behavior

Ahmed A. Moustafa
Computational Models of Brain and Behavior Book PDF

Author : Ahmed A. Moustafa
Publisher : John Wiley & Sons
Page : 586 pages
File Size : 48,6 Mb
Release : 2017-11-13
Category : Psychology
ISBN : 9781119159063

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Computational Models of Brain and Behavior by Ahmed A. Moustafa Pdf

A comprehensive Introduction to the world of brain and behavior computational models This book provides a broad collection of articles covering different aspects of computational modeling efforts in psychology and neuroscience. Specifically, it discusses models that span different brain regions (hippocampus, amygdala, basal ganglia, visual cortex), different species (humans, rats, fruit flies), and different modeling methods (neural network, Bayesian, reinforcement learning, data fitting, and Hodgkin-Huxley models, among others). Computational Models of Brain and Behavior is divided into four sections: (a) Models of brain disorders; (b) Neural models of behavioral processes; (c) Models of neural processes, brain regions and neurotransmitters, and (d) Neural modeling approaches. It provides in-depth coverage of models of psychiatric disorders, including depression, posttraumatic stress disorder (PTSD), schizophrenia, and dyslexia; models of neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and epilepsy; early sensory and perceptual processes; models of olfaction; higher/systems level models and low-level models; Pavlovian and instrumental conditioning; linking information theory to neurobiology; and more. Covers computational approximations to intellectual disability in down syndrome Discusses computational models of pharmacological and immunological treatment in Alzheimer's disease Examines neural circuit models of serotonergic system (from microcircuits to cognition) Educates on information theory, memory, prediction, and timing in associative learning Computational Models of Brain and Behavior is written for advanced undergraduate, Master's and PhD-level students—as well as researchers involved in computational neuroscience modeling research.

Computational Neuroscience Models of the Basal Ganglia

V. Srinivasa Chakravarthy,Ahmed A. Moustafa
Computational Neuroscience Models of the Basal Ganglia Book PDF

Author : V. Srinivasa Chakravarthy,Ahmed A. Moustafa
Publisher : Springer
Page : 296 pages
File Size : 49,7 Mb
Release : 2018-03-21
Category : Technology & Engineering
ISBN : 9789811084942

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Computational Neuroscience Models of the Basal Ganglia by V. Srinivasa Chakravarthy,Ahmed A. Moustafa Pdf

The book is a compendium of the aforementioned subclass of models of Basal Ganglia, which presents some the key existent theories of Basal Ganglia function. The book presents computational models of basal ganglia-related disorders, including Parkinson’s disease, schizophrenia, and addiction. Importantly, it highlights the applications of understanding the role of the basal ganglia to treat neurological and psychiatric disorders. The purpose of the present book is to amend and expand on James Houk’s book (MIT press; ASIN: B010BF4U9K) by providing a comprehensive overview on computational models of the basal ganglia. This book caters to researchers and academics from the area of computational cognitive neuroscience.

Computational Modeling of Genetic and Biochemical Networks

James M. Bower,Hamid Bolouri
Computational Modeling of Genetic and Biochemical Networks Book PDF

Author : James M. Bower,Hamid Bolouri
Publisher : MIT Press
Page : 386 pages
File Size : 51,9 Mb
Release : 2001
Category : Computers
ISBN : 0262524236

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Computational Modeling of Genetic and Biochemical Networks by James M. Bower,Hamid Bolouri Pdf

How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.

Principles of Computational Modelling in Neuroscience

David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw
Principles of Computational Modelling in Neuroscience Book PDF

Author : David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw
Publisher : Cambridge University Press
Page : 553 pages
File Size : 46,7 Mb
Release : 2023-10-05
Category : Science
ISBN : 9781108483148

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Principles of Computational Modelling in Neuroscience by David Sterratt,Bruce Graham,Andrew Gillies,Gaute Einevoll,David Willshaw Pdf

Learn to use computational modelling techniques to understand the nervous system at all levels, from ion channels to networks.

Computational Modeling in Cognition

Stephan Lewandowsky,Simon Farrell
Computational Modeling in Cognition Book PDF

Author : Stephan Lewandowsky,Simon Farrell
Publisher : SAGE
Page : 376 pages
File Size : 41,6 Mb
Release : 2010-11-29
Category : Psychology
ISBN : 9781452236193

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Computational Modeling in Cognition by Stephan Lewandowsky,Simon Farrell Pdf

An accessible introduction to the principles of computational and mathematical modeling in psychology and cognitive science This practical and readable work provides students and researchers, who are new to cognitive modeling, with the background and core knowledge they need to interpret published reports, and develop and apply models of their own. The book is structured to help readers understand the logic of individual component techniques and their relationships to each other.

Introduction to Computational Modeling Using C and Open-Source Tools

Jose M. Garrido
Introduction to Computational Modeling Using C and Open Source Tools Book PDF

Author : Jose M. Garrido
Publisher : CRC Press
Page : 458 pages
File Size : 43,7 Mb
Release : 2013-11-13
Category : Computers
ISBN : 9781482216790

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Introduction to Computational Modeling Using C and Open-Source Tools by Jose M. Garrido Pdf

Introduction to Computational Modeling Using C and Open-Source Tools presents the fundamental principles of computational models from a computer science perspective. It explains how to implement these models using the C programming language. The software tools used in the book include the Gnu Scientific Library (GSL), which is a free software libra

Introduction to Computational Models with Python

Jose M. Garrido
Introduction to Computational Models with Python Book PDF

Author : Jose M. Garrido
Publisher : CRC Press
Page : 492 pages
File Size : 52,9 Mb
Release : 2015-08-28
Category : Computers
ISBN : 9781498712040

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Introduction to Computational Models with Python by Jose M. Garrido Pdf

Introduction to Computational Models with Python explains how to implement computational models using the flexible and easy-to-use Python programming language. The book uses the Python programming language interpreter and several packages from the huge Python Library that improve the performance of numerical computing, such as the Numpy and Scipy m

EMC Analysis Methods and Computational Models

Frederick M. Tesche,Michel Ianoz,Torbjörn Karlsson
EMC Analysis Methods and Computational Models Book PDF

Author : Frederick M. Tesche,Michel Ianoz,Torbjörn Karlsson
Publisher : John Wiley & Sons
Page : 656 pages
File Size : 51,7 Mb
Release : 1996-12-26
Category : Technology & Engineering
ISBN : 047115573X

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EMC Analysis Methods and Computational Models by Frederick M. Tesche,Michel Ianoz,Torbjörn Karlsson Pdf

Describes and illustrates various modeling techniques which are applicable to the area of EMC and includes material previously available only in international reports or other hard-to-obtain references. Electromagnetic topology, lumped-parameter circuit models, the radiation process, scalar diffraction theory for apertures, transmission line modeling, and models for shielding are among the topics discussed. The accompanying disk contains four programs based on the models developed in the text and can be used to calculate diverse transmission line responses.

Computational Modeling of Cognition and Behavior

Simon Farrell,Stephan Lewandowsky
Computational Modeling of Cognition and Behavior Book PDF

Author : Simon Farrell,Stephan Lewandowsky
Publisher : Cambridge University Press
Page : 485 pages
File Size : 44,7 Mb
Release : 2018-02-22
Category : Psychology
ISBN : 9781107109995

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Computational Modeling of Cognition and Behavior by Simon Farrell,Stephan Lewandowsky Pdf

This book presents an integrated framework for developing and testing computational models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models.

Neural Networks: Computational Models and Applications

Huajin Tang,Kay Chen Tan,Zhang Yi
Neural Networks Computational Models and Applications Book PDF

Author : Huajin Tang,Kay Chen Tan,Zhang Yi
Publisher : Springer Science & Business Media
Page : 310 pages
File Size : 52,5 Mb
Release : 2007-03-12
Category : Computers
ISBN : 9783540692256

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Neural Networks: Computational Models and Applications by Huajin Tang,Kay Chen Tan,Zhang Yi Pdf

Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. The book offers a compact, insightful understanding of the broad and rapidly growing neural networks domain.