Teresa Lopez-Soto

Francisco J. Salguero-Lamillar

Alvaro Garcia-Lopez

This book is a call to expand and diversify our approach to the study of the human mind in relation to the Theory of Mind. It proposes that it is necessary to combine cross-disciplinary methods to arrive at a more complete understanding of how our minds work. Seeking to expand the discussion surrounding the Theory of Mind beyond the field of psychology, and its focus on our capacity to ascribe mental states to other people, this volume collects evidence and research to point to a more holistic understanding of our own minds, the minds of others, behavior, language, and reasoning. This book therefore illuminates the conceptual intricacy underlying the Theory of Mind. It posits that a wide scope is necessary to make a breakthrough in scientific research towards a full understanding of the nature, function, and development of our capacity to converge on biological processes of the brain towards consciousness, emotion, awareness, and cognition. The volume presents methods, results, critiques, and models intended to provoke debates in various academic disciplines. It is of interest to scholars working in psychology, neuroscience, philosophy of mind, and artificial intelligence.

Psychopathology, Neuroscience, Philosophy of Mind and Artificial Intelligence

The Theory of Mind Under Scrutiny

Lorenzo Magnani

Ángel Nepomuceno-Fernández

Cristina Barés-Gómez

Matthieu Fontaine

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.

Inferential Models for Logic, Language, Cognition and Computation

Model-Based Reasoning in Science and Technology

Francisco J. Salguero-Lamillar

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