Eco Cognitive Computationalism PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Eco Cognitive Computationalism PDF full book. Access full book title Eco Cognitive Computationalism.

Eco-Cognitive Computationalism

Eco-Cognitive Computationalism
Author: Lorenzo Magnani
Publisher: Springer Nature
Total Pages: 116
Release: 2021-08-30
Genre: Technology & Engineering
ISBN: 3030814475

Download Eco-Cognitive Computationalism Book in PDF, ePub and Kindle

This book mainly focuses on the widely distributed nature of computational tools, models, and methods, ultimately related to the current importance of computational machines as mediators of cognition. An entirely new eco-cognitive approach to computation is offered, to underline the question of the overwhelming cognitive domestication of ignorant entities, which is persistently at work in our current societies. Eco-cognitive computationalism does not aim at furnishing an ultimate and static definition of the concepts of information, cognition, and computation, instead, it intends, by respecting their historical and dynamical character, to propose an intellectual framework that depicts how we can understand their forms of “emergence” and the modification of their meanings, also dealing with impressive unconventional non-digital cases. The new proposed perspective also leads to a clear description of the divergence between weak and strong levels of creative “abductive” hypothetical cognition: weak accomplishments are related to “locked abductive strategies”, typical of computational machines, and deep creativity is instead related to “unlocked abductive strategies”, which characterize human cognizers, who benefit from the so-called “eco-cognitive openness”.


Philosophy And Methodology Of Information: The Study Of Information In The Transdisciplinary Perspective

Philosophy And Methodology Of Information: The Study Of Information In The Transdisciplinary Perspective
Author: Dodig-crnkovic Gordana
Publisher: World Scientific
Total Pages: 576
Release: 2019-04-24
Genre: Computers
ISBN: 981327753X

Download Philosophy And Methodology Of Information: The Study Of Information In The Transdisciplinary Perspective Book in PDF, ePub and Kindle

The book gives up-to-date, multi-aspect exposition of the philosophy and methodology of information, and related areas within the nascent field of the study of information. It presents the most recent achievements, ideas and opinions of leading researchers in this domain, as well as from physicists, biologists and social scientists. Collaboration of researchers from different areas and fields opens new perspectives for the understanding of information essential in the innovative development of science, technology and society.The book is meant for readers conducting research into any aspect of information, information society and information technology. The ideas presented give new insights for those who develop or implement scientific, technological or social applications. They are especially for those who are participating in setting the goals for science in general and sciences of information in particular.


Abductive Cognition

Abductive Cognition
Author: Lorenzo Magnani
Publisher: Springer
Total Pages: 535
Release: 2009-10-09
Genre: Computers
ISBN: 9783642036309

Download Abductive Cognition Book in PDF, ePub and Kindle

This volume explores abductive cognition, an important but, at least until the third quarter of the last century, neglected topic in cognition. It aims at increasing knowledge about creative and expert inferences.


Living Beyond Data

Living Beyond Data
Author: Yukio Ohsawa
Publisher: Springer Nature
Total Pages: 293
Release: 2022-11-06
Genre: Computers
ISBN: 3031115937

Download Living Beyond Data Book in PDF, ePub and Kindle

This book states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful. The reader will be released from these dilemmas and enabled to act beyond patterns in past events by creating a process to interact with the data market and the dynamic real-world rich in new events. We present new approaches from the aspects of computation, communication, and their integration, to readers including analysts in sciences and businesses, systems managers, and learners desiring to design knowledge to learn. We show clues to explaining causalities in the target world of a black-box AI of which users may seek a predictive performance. For obtaining interpretable knowledge, we show the integration of model- and data-driven approaches, the analysis and perception of signals from data acquired in the cyber or the real word, and creative communication which connects demands to data by visualizing the data market as a place for innovations


Encyclopedia of Data Science and Machine Learning

Encyclopedia of Data Science and Machine Learning
Author: Wang, John
Publisher: IGI Global
Total Pages: 3296
Release: 2023-01-20
Genre: Computers
ISBN: 1799892212

Download Encyclopedia of Data Science and Machine Learning Book in PDF, ePub and Kindle

Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.


Handbook of Abductive Cognition

Handbook of Abductive Cognition
Author: Lorenzo Magnani
Publisher: Springer Nature
Total Pages: 1921
Release: 2023-03-31
Genre: Technology & Engineering
ISBN: 3031101359

Download Handbook of Abductive Cognition Book in PDF, ePub and Kindle

This Handbook offers the first comprehensive reference guide to the interdisciplinary field of abductive cognition, providing readers with extensive information on the process of reasoning to hypotheses in humans, animals, and in computational machines. It highlights the role of abduction in both theory practice: in generating and testing hypotheses and explanatory functions for various purposes and as an educational device. It merges logical, cognitive, epistemological and philosophical perspectives with more practical needs relating to the application of abduction across various disciplines and practices, such as in diagnosis, creative reasoning, scientific discovery, diagrammatic and ignorance-based cognition, and adversarial strategies. It also discusses the inferential role of models in hypothetical reasoning, abduction and creativity, including the process of development, implementation and manipulation for different scientific and technological purposes. Written by a group of internationally renowned experts in philosophy, logic, general epistemology, mathematics, cognitive, and computer science, as well as life sciences, engineering, architecture, and economics, the Handbook of Abductive Cognition offers a unique reference guide for readers approaching the process of reasoning to hypotheses from different perspectives and for various theoretical and practical purposes. Numerous diagrams, schemes and other visual representations are included to promote a better understanding of the relevant concepts and to make concepts highly accessible to an audience of scholars and students with different scientific backgrounds.


Model-Based Reasoning in Science and Technology

Model-Based Reasoning in Science and Technology
Author: Lorenzo Magnani
Publisher: Springer Science & Business Media
Total Pages: 633
Release: 2013-08-31
Genre: Science
ISBN: 364237428X

Download Model-Based Reasoning in Science and Technology Book in PDF, ePub and Kindle

This book contains contributions presented during the international conference on Model-Based Reasoning (MBR ́012), held on June 21-23 in Sestri Levante, Italy. Interdisciplinary researchers discuss in this volume how scientific cognition and other kinds of cognition make use of models, abduction, and explanatory reasoning in order to produce important or creative changes in theories and concepts. Some of the contributions analyzed the problem of model-based reasoning in technology and stressed the issues of scientific and technological innovation. The book is divided in three main parts: models, mental models, representations; abduction, problem solving and practical reasoning; historical, epistemological and technological issues. The volume is based on the papers that were presented at the international


Radical Embodied Cognitive Science

Radical Embodied Cognitive Science
Author: Anthony Chemero
Publisher: MIT Press
Total Pages: 269
Release: 2011-08-19
Genre: Philosophy
ISBN: 0262516470

Download Radical Embodied Cognitive Science Book in PDF, ePub and Kindle

A proposal for a new way to do cognitive science argues that cognition should be described in terms of agent-environment dynamics rather than computation and representation. While philosophers of mind have been arguing over the status of mental representations in cognitive science, cognitive scientists have been quietly engaged in studying perception, action, and cognition without explaining them in terms of mental representation. In this book, Anthony Chemero describes this nonrepresentational approach (which he terms radical embodied cognitive science), puts it in historical and conceptual context, and applies it to traditional problems in the philosophy of mind. Radical embodied cognitive science is a direct descendant of the American naturalist psychology of William James and John Dewey, and follows them in viewing perception and cognition to be understandable only in terms of action in the environment. Chemero argues that cognition should be described in terms of agent-environment dynamics rather than in terms of computation and representation. After outlining this orientation to cognition, Chemero proposes a methodology: dynamical systems theory, which would explain things dynamically and without reference to representation. He also advances a background theory: Gibsonian ecological psychology, “shored up” and clarified. Chemero then looks at some traditional philosophical problems (reductionism, epistemological skepticism, metaphysical realism, consciousness) through the lens of radical embodied cognitive science and concludes that the comparative ease with which it resolves these problems, combined with its empirical promise, makes this approach to cognitive science a rewarding one. “Jerry Fodor is my favorite philosopher,” Chemero writes in his preface, adding, “I think that Jerry Fodor is wrong about nearly everything.” With this book, Chemero explains nonrepresentational, dynamical, ecological cognitive science as clearly and as rigorously as Jerry Fodor explained computational cognitive science in his classic work The Language of Thought.


Pathways to the Origin and Evolution of Meanings in the Universe

Pathways to the Origin and Evolution of Meanings in the Universe
Author: Alexei A. Sharov
Publisher: John Wiley & Sons
Total Pages: 516
Release: 2024-04-02
Genre: Science
ISBN: 1119865093

Download Pathways to the Origin and Evolution of Meanings in the Universe Book in PDF, ePub and Kindle

Pathways to the Origin and Evolition of Meanings in the Universe The book explains why meaning is a part of the universe populated by life, and how organisms generate meanings and then use them for creative transformation of the environment and themselves. This book focuses on interdisciplinary research at the intersection of biology, semiotics, philosophy, ethology, information theory, and the theory of evolution. Such a broad approach provides a rich context for the study of organisms and other semiotic agents in their environments. This methodology can be applied to robotics and artificial intelligence for developing robust, adaptable learning devices. In this book, leading interdisciplinary scholars reveal their vision on how to integrate natural sciences with semiotics, a theory of meaning-making and signification. Developments in biology indicate that the capacity to create and understand signs is not limited to humans or vertebrate animals, but exists in all living organisms - the fact that inspired the integration of biology and semiotics into biosemiotics. The authors discuss the nature of semiotic agents (organisms and other autonomous goal-directed units), meaning, signs, information, memory, evolution, and consciousness. Also discussed are issues including the origin of life, potential meaning and its actualization, top-down causality in physics and biology, capacity of organisms to encode their functions, the strategy of organisms to combine homeostasis with direct adaptation to new life-cycle phases or new environments, multi-level memory systems, increase of freedom via enabling constraints, creative modeling in evolution and learning, communication in animals and humans, the origin and function of language, and the distribution and transfer of life in space. This is the first book on biosemiotics in its global conceptual and spatial scope. Biosemiotics is presented using the language of natural sciences, which supports the scientific grounding of semiotic terms. Finally, the cosmic dimension of life and meaning-making leads to a reconsideration of ethical principles and ecological mentality here on earth and in space exploration. Audience Theoretical biologists, ethologists, astrobiologists, ecologists, evolutionary biologists, philosophers, phenomenologists, semioticians, biosemioticians, molecular biologists, linguists, system scientists and engineers.


Model-Based Reasoning in Science and Technology

Model-Based Reasoning in Science and Technology
Author: Ángel Nepomuceno-Fernández
Publisher: Springer Nature
Total Pages: 502
Release: 2019-10-24
Genre: Philosophy
ISBN: 3030327221

Download Model-Based Reasoning in Science and Technology Book in PDF, ePub and Kindle

This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important and innovative changes in theories and concepts. Gathering revised contributions presented at the international conference on Model-Based Reasoning (MBR18), held on October 24–26 2018 in Seville, Spain, the book is divided into three main parts. The first focuses on models, reasoning, and representation. It highlights key theoretical concepts from an applied perspective, and addresses issues concerning information visualization, experimental methods, and design. The second part goes a step further, examining abduction, problem solving, and reasoning. The respective papers assess different types of reasoning, and discuss various concepts of inference and creativity and their relationship with experimental data. In turn, the third part reports on a number of epistemological and technological issues. By analyzing possible contradictions in modern research and describing representative case studies, this part is intended to foster new discussions and stimulate new ideas. All in all, the book provides researchers and graduate students in the fields of applied philosophy, epistemology, cognitive science, and artificial intelligence alike with an authoritative snapshot of the latest theories and applications of model-based reasoning.