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Mental Models And Their Dynamics Adaptation And Control

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Author by : Jan Treur
Languange Used : en
Release Date : 2022-01-26
Publisher by : Springer Nature

ISBN : 9783030858216

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....

Computational Modeling Of Multilevel Organisational Learning And Its Control Using Self Modeling Network Models

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Author by : Gülay Canbaloğlu
Languange Used : en
Release Date : 2023-06-16
Publisher by : Springer Nature

ISBN : 9783031287350

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....

The Great Mental Models Volume 1

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Author by : Shane Parrish
Languange Used : en
Release Date : 2024-10-15
Publisher by : Penguin

ISBN : 9780593719978

Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage....

Generative Mental Processes And Cognitive Resources

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Author by : U. Hecker
Languange Used : en
Release Date : 2012-12-06
Publisher by : Springer Science & Business Media

ISBN : 9789401143738

In recent years, a booming research interest has been observed in linking basic cognitive processes with a variety of social and clinical phenomena. Evidence comes from the increasing popularity of psychological paradigms such as social cognition, cognitive psychopathology or cognitive aging. What links those paradigms is their special focus on explaining cognitive phenomena by use of the concept of mental resources. Immediate reasons for such a focus are found in the growing emphasis on understanding everyday dynamics of thinking and acting within a complex world, as well as within personal constraints. Obviously, our current goals and choice of activities constrain and influence our reasoning as well as the processes of input to and retrieval from memory. Situational demands will act to the same effect, and the interplay between both, internal and external constraints, makes apparent a first and straightforward relevance of the resource notion in action-oriented cognitive research. For example, person perception is a dynamic process depending on what my goals in perception are, what the perceiving situation is that I find myself in, and how complex the target characteristics are. In fact, the amount of resources spent in this process may be reflected in its speed, the quality of the perceptual or mnemonic trace which is being created, or the kind of social or non-social behavior that can be supported....

Data Science And Intelligent Systems

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Author by : Radek Silhavy
Languange Used : en
Release Date : 2021-11-16
Publisher by : Springer Nature

ISBN : 9783030903213

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...

Mental Models

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Author by : Peter Grey
Languange Used : en
Release Date : 2020-10-24
Publisher by :

ISBN : 1914095383

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!!...

Safety Management And Human Factors

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Author by : Pedro Arezes and Anne Garcia
Languange Used : en
Release Date : 2022-07-24
Publisher by : AHFE International

ISBN : 9781958651407

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...

Complex Networks Their Applications X

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Author by : Rosa Maria Benito
Languange Used : en
Release Date : 2022-01-01
Publisher by : Springer Nature

ISBN : 9783030934095

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....

Brain Informatics

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Author by : Mufti Mahmud
Languange Used : en
Release Date : 2021-09-15
Publisher by : Springer Nature

ISBN : 9783030869939

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....

Biologically Inspired Cognitive Architectures 2021

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Author by : Valentin V. Klimov
Languange Used : en
Release Date : 2022-03-24
Publisher by : Springer Nature

ISBN : 9783030969936

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....