Mental Models And Their Dynamics Adaptation And Control

Author : Jan Treur,Laila Van Ments
Publisher : Springer Nature
Page : 611 pages
File Size : 47,8 Mb
Release : 2022-01-26
Category : Technology & Engineering
ISBN : 9783030858216

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Mental Models and Their Dynamics, Adaptation, and Control by Jan Treur,Laila Van Ments Pdf

This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans often make use of internal mental models as a kind of blueprints for processes that can take place in the world or in other persons. By internal mental simulation of such a mental model in their brain, they can predict and be prepared for what can happen in the future. Usually, mental models are adaptive: they can be learned, refined, revised, or forgotten, for example. Although there is a huge literature on mental models in various disciplines, a systematic account of how to model them computationally in a transparent manner is lacking. This approach allows for computational modeling of humans using mental models without a need for any algorithmic or programming skills, allowing for focus on the process of conceptualizing, modeling, and simulating complex, real-world mental processes and behaviors. The book is suitable for and is used as course material for multidisciplinary Master and Ph.D. students.

Author : Gülay Canbaloğlu,Jan Treur,Anna Wiewiora
Publisher : Springer Nature
Page : 512 pages
File Size : 48,5 Mb
Release : 2023-06-16
Category : Technology & Engineering
ISBN : 9783031287350

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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models by Gülay Canbaloğlu,Jan Treur,Anna Wiewiora Pdf

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent and explore different facets of multilevel learning. This book provides an overview of recent work on mathematical formalisation and computational simulation of multilevel organisational learning by exploiting the possibilities of self-modeling network models to address it. This is the first book addressing mathematical formalisation and computational modeling of multilevel organisational learning in a systematic, principled manner. A self-modeling network modeling approach from AI and Network Science is used where in a reflective manner some of the network nodes (called self-model nodes) represent parts of the network’s own network structure characteristics. This is supported by a dedicated software environment allowing to design and implement (higher-order) adaptive network models by specifying them in a conceptual manner at a high level of abstraction in a standard table format, without any need of algorithmic specification or programming. This modeling approach allows to model the development of knowledge in an organisational setting in a neatly structured manner at three different levels for the usage, adaptation and control, respectively, of the underlying mental models. Several examples of realistic cases of multilevel organisational learning are used to illustrate the approach. Crucial concepts such as the aggregation of mental models to form shared mental models out of individual mental models are addressed extensively. It is shown how to model context-sensitive control of organisational learning taking into account a wide variety of context factors, for example relating to levels of expertise of individuals or to leadership styles of managers involved. Mathematical equilibrium analysis of models of organisational learning is also addressed, among others allowing verification of correctness of the implemental models in comparison to their conceptual design. Chapters in this book also contribute to the Management and Business Sciences research by demonstrating how computational modeling can be used to capture complex management phenomena such as multilevel organizational learning. This book has a potential implication for practice by demonstrating how computational modeling can be used to capture learning scenarios, which then provide a basis for more informed managerial decisions.

Author : Radek Silhavy,Petr Silhavy,Zdenka Prokopova
Publisher : Springer Nature
Page : 1073 pages
File Size : 46,7 Mb
Release : 2021-11-16
Category : Technology & Engineering
ISBN : 9783030903213

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Data Science and Intelligent Systems by Radek Silhavy,Petr Silhavy,Zdenka Prokopova Pdf

This book constitutes the second part of refereed proceedings of the 5th Computational Methods in Systems and Software 2021 (CoMeSySo 2021) proceedings. The real-world problems related to data science and algorithm design related to systems and software engineering are presented in this papers. Furthermore, the basic research’ papers that describe novel approaches in the data science, algorithm design and in systems and software engineering are included. The CoMeSySo 2021 conference is breaking the barriers, being held online. CoMeSySo 2021 intends to provide an international forum for the discussion of the latest high-quality research results

Author : Pedro Arezes and Anne Garcia
Publisher : AHFE International
Page : 244 pages
File Size : 55,6 Mb
Release : 2022-07-24
Category : Technology & Engineering
ISBN : 9781958651407

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Safety Management and Human Factors by Pedro Arezes and Anne Garcia Pdf

Safety Management and Human Factors Proceedings of the 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), July 24–28, 2022, New York, USA

Author : Rosa Maria Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis M. Rocha,Marta Sales-Pardo
Publisher : Springer Nature
Page : 896 pages
File Size : 41,6 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030934095

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Complex Networks & Their Applications X by Rosa Maria Benito,Chantal Cherifi,Hocine Cherifi,Esteban Moro,Luis M. Rocha,Marta Sales-Pardo Pdf

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the X International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2021). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks, and technological networks.

Author : Mufti Mahmud,M Shamim Kaiser,Stefano Vassanelli,Qionghai Dai,Ning Zhong
Publisher : Springer Nature
Page : 606 pages
File Size : 40,6 Mb
Release : 2021-09-15
Category : Computers
ISBN : 9783030869939

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Brain Informatics by Mufti Mahmud,M Shamim Kaiser,Stefano Vassanelli,Qionghai Dai,Ning Zhong Pdf

This book constitutes the refereed proceedings of the 14th International Conference on Brain Informatics, BI 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic. The 49 full and 2 short papers together with 18 abstract papers were carefully reviewed and selected from 90 submissions. The papers are organized in the following topical sections: cognitive and computational foundations of brain science; investigations of human information processing systems; brain big data analytics, curation and management; informatics paradigms for brain and mental health research; and brain-machine intelligence and brain-inspired computing.

Author : Valentin V. Klimov,David J. Kelley
Publisher : Springer Nature
Page : 640 pages
File Size : 43,6 Mb
Release : 2022-03-24
Category : Technology & Engineering
ISBN : 9783030969936

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Biologically Inspired Cognitive Architectures 2021 by Valentin V. Klimov,David J. Kelley Pdf

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 12th Annual Meeting of the BICA Society (BICA 2021), which consisted of two parallel virtual events: Information in Biologically Inspired Cognitive Architectures based Systems, held during the 2021 Summit of the International Society for the Study of Information, on September 12-19, 2021, from Vienna, Austria, and the 2021 International Workshop on Biologically Inspired Cognitive Architectures, held during the 21st ACM International Conference on Intelligent Virtual Agents, on September 14-17, 2021, from the Fukuchiyama City, Kyoto, Japan. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Author : Xin-She Yang,Simon Sherratt,Nilanjan Dey,Amit Joshi
Publisher : Springer Nature
Page : 889 pages
File Size : 50,7 Mb
Release : 2022-07-26
Category : Technology & Engineering
ISBN : 9789811916106

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Proceedings of Seventh International Congress on Information and Communication Technology by Xin-She Yang,Simon Sherratt,Nilanjan Dey,Amit Joshi Pdf

This book gathers selected high-quality research papers presented at the Seventh International Congress on Information and Communication Technology, held at Brunel University, London, on February 21–24, 2022. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies. The work is presented in four volumes.

Author : Hocine Cherifi
Publisher : Springer Nature
Page : 490 pages
File Size : 51,5 Mb
Release : 2024-06-13
Category : Electronic
ISBN : 9783031535031

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Complex Networks & Their Applications XII by Hocine Cherifi Pdf

Author : Anupam Shukla,B. K. Murthy,Nitasha Hasteer,Jean-Paul Van Belle
Publisher : Springer Nature
Page : 818 pages
File Size : 48,7 Mb
Release : 2023-02-15
Category : Technology & Engineering
ISBN : 9789811973468

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Computational Intelligence by Anupam Shukla,B. K. Murthy,Nitasha Hasteer,Jean-Paul Van Belle Pdf

The book constitutes the peer-reviewed proceedings of the 2nd International Conference on Information Technology (InCITe-2022): The Next Generation Technology Summit. The theme of the conference is Computational Intelligence: Automate your World. The volume is a conglomeration of research papers covering interdisciplinary research and in-depth applications of computational intelligence, deep learning, machine learning, artificial intelligence, data science, enabling technologies for IoT, blockchain, and other futuristic computational technologies. The volume covers various topics that span cutting-edge, collaborative technologies and areas of computation. The content would serve as a rich knowledge repository on information & communication technologies, neural networks, fuzzy systems, natural language processing, data mining & warehousing, big data analytics, cloud computing, security, social networks and intelligence, decision making, and modeling, information systems, and IT architectures. The book will be useful to researchers, practitioners, and policymakers working in information technology.

Author : A.J. Tallón-Ballesteros
Publisher : IOS Press
Page : 738 pages
File Size : 52,7 Mb
Release : 2021-12-03
Category : Computers
ISBN : 9781643682259

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Modern Management Based on Big Data II and Machine Learning and Intelligent Systems III by A.J. Tallón-Ballesteros Pdf

It is data that guides the path of applications, and Big Data technologies are enabling new paths which can deal with information in a reasonable time to arrive at an approximate solution, rather than a more exact result in an unacceptably long time. This can be particularly important when dealing with an urgent issue such as that of the COVID-19 pandemic. This book presents the proceedings of two conferences: MMBD 2021 and MLIS 2021. The MMBD conference deals with two main subjects; those of Big Data and Modern Management. The MLIS conference aims to provide a platform for knowledge exchange of the most recent scientific and technological advances in the field of machine learning and intelligent systems. Both conferences were originally scheduled to be held from 8-11 November 2021, in Quanzhou, China and Xiamen, China respectively. Both conferences were ultimately held fully online on the same dates, hosted by Huaqiao University in Quanzhou and Xiamen respectively. The book is in two parts, and contains a total of 78 papers (54 from MMBD2021 and 24 from MLIS2021) selected after rigorous review from a total of some 300 submissions. The reviewers bore in mind the breadth and depth of the research topics that fall within the scope of MMBD and MLIS, and selected the 78 most promising and FAIA mainstream-relevant contributions for inclusion in this two-part volume. All the papers present original ideas or results of general significance supported by clear reasoning, compelling evidence and rigorous methods.

Author : Hocine Cherifi,Rosario Nunzio Mantegna,Luis M. Rocha,Chantal Cherifi,Salvatore Miccichè
Publisher : Springer Nature
Page : 667 pages
File Size : 45,9 Mb
Release : 2023-01-03
Category : Technology & Engineering
ISBN : 9783031211270

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Complex Networks and Their Applications XI by Hocine Cherifi,Rosario Nunzio Mantegna,Luis M. Rocha,Chantal Cherifi,Salvatore Miccichè Pdf

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the XI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2022). The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks and technological networks.

Author : Ngoc Thanh Nguyen,Lazaros Iliadis,Ilias Maglogiannis,Bogdan Trawiński
Publisher : Springer Nature
Page : 817 pages
File Size : 45,6 Mb
Release : 2021-09-29
Category : Computers
ISBN : 9783030880811

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Computational Collective Intelligence by Ngoc Thanh Nguyen,Lazaros Iliadis,Ilias Maglogiannis,Bogdan Trawiński Pdf

This book constitutes the refereed proceedings of the 13th International Conference on Computational Collective Intelligence, ICCCI 2021, held in September/October 2021. The conference was held virtually due to the COVID-19 pandemic. The 58 full papers were carefully reviewed and selected from 230 submissions. The papers are grouped in topical issues on knowledge engineering and semantic web; social networks and recommender systems; collective decision-making; cooperative strategies for decision making and optimization; data mining and machine learning; computer vision techniques; natural language processing; Internet of Things: technologies and applications; Internet of Things and computational technologies for collective intelligence; computational intelligence for multimedia understanding.

Author : Peter Grey
Publisher : Unknown
Page : 142 pages
File Size : 48,6 Mb
Release : 2020-10-24
Category : Psychology
ISBN : 1914095383

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MENTAL MODELS by Peter Grey Pdf

55% OFF for Bookstores! Discounted retail Price NOW at $23.95 instead of $34.95!! A mental model is the representation of a human mind's thought process. Everything that a person sees is represented as models inside their minds. The mental models are considered as an internal scale for a human being for evaluation and for taking decisions. The Internal scales, as mentioned by the scientists, are ever changing and unstable as a human mind is susceptible to change due to adaptation. Even going through a change, a human being must be able to evaluate and understand the consequences and results of change. The mental model provides grounds for reasoning. The models that are made out of a person's perception and imagination, which can influence thinking than coming down to a logical conclusion. Out of all the possible assumptions, the mental model represents only the most relevant and true one. The contrary occurs when there is an alternative to reality. What you will learn in this book: - Changing Mental Models for Instructors - Mental Models: The Box Everyone Is Trying to Think Outside of - For Great Ventures - The New Mental Model For Post-Recession Success - Sales Leadership - Building a Shared Mental Model - Strategy Execution: 2 Tips to Improve Decision Making - How to Improve Your Decision Making Skills - Logic Analyzer - Nothing Else Works Like It - The Problem of Problem Solving Mental models have been utilized for studying human-computer interaction (HCI), where the mental models are being used to make sense of the complexities that are around the people using computers. When people use computers, they build mental models following the interaction with the system. 55% OFF for Bookstores! Discounted retail Price NOW at $23.95 instead of $34.95!!

Author : Peter Grey
Publisher : Unknown
Page : 142 pages
File Size : 52,9 Mb
Release : 2020-10-24
Category : Psychology
ISBN : 1914095197

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MENTAL MODELS by Peter Grey Pdf

A mental model is the representation of a human mind's thought process. Everything that a person sees is represented as models inside their minds. The mental models are considered as an internal scale for a human being for evaluation and for taking decisions. The Internal scales, as mentioned by the scientists, are ever changing and unstable as a human mind is susceptible to change due to adaptation. Even going through a change, a human being must be able to evaluate and understand the consequences and results of change. The mental model provides grounds for reasoning. The models that are made out of a person's perception and imagination, which can influence thinking than coming down to a logical conclusion. Out of all the possible assumptions, the mental model represents only the most relevant and true one. The contrary occurs when there is an alternative to reality. What you will learn in this book: - Changing Mental Models for Instructors - Mental Models: The Box Everyone Is Trying to Think Outside of - For Great Ventures - The New Mental Model For Post-Recession Success - Sales Leadership - Building a Shared Mental Model - Strategy Execution: 2 Tips to Improve Decision Making - How to Improve Your Decision Making Skills - Logic Analyzer - Nothing Else Works Like It - The Problem of Problem Solving Mental models have been utilized for studying human-computer interaction (HCI), where the mental models are being used to make sense of the complexities that are around the people using computers. When people use computers, they build mental models following the interaction with the system. Get your copy today...