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Blended cognition : the robotic challenge

Author: Jordi Vallverdú; Vincent C Müller
Publisher: Cham, Switzerland : Springer, 2019.
Series: Springer series in cognitive and neural systems, v. 12.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
This edited volume is about how unprejudiced approaches to real human cognition can improve the design of AI. It covers many aspects of human cognition and across 12 chapters the reader can explore multiple approaches about the complexities of human cognitive skills and reasoning, always guided by experts from different but complimentary academic fields. A central concept is explained: blended cognition, the natural  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Blended cognition.
Cham, Switzerland : Springer, 2019
(OCoLC)1055263104
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jordi Vallverdú; Vincent C Müller
ISBN: 9783030031046 3030031047
OCLC Number: 1098173636
Notes: Includes index.
Description: 1 online resource (x, 304 pages) : illustrations (some color)
Contents: Preface Blended Cognition Vincent C. Müller & Jordi VallverdúPhilosophy 1. Blended cognition. The robotic challenge Jordi Vallverdú2. Manipulative Abduction, External Semiotic Anchors, and Blended Cognition Lorenzo Magnani3. Practical Reasoning in the Deliberations of an Intelligent Autonomous Agent Douglas Walton4. Blended Automation: The Language-Game of Psychoanalytic Automatism and Cybernetic Automata Vassilis GalanosEngineering 5. Can our Robots rely on an Emotionally Charged Vision-for- Action? An Embodied Model for Neurorobotics Gabriele Ferretti & Eris Chinellato6. Modeling psycho-emotional states via neurosimulation of monoamine neuro-Transmitters Max Talanov, Alexey Leukhin, Fail Gafarov & Jordi Vallverdú7. Towards Conversation Envisioning for Cognitive Robots Maryam Sadat Mirzaei, Qiang Zhang, Stef van der Struijk & Toyoaki NishidaPsychology 8. The blending of human and autonomous-machine cognition Robert Earl Patterson and Robert G. Eggleston (USAF)9. Heuristics of Numerical Choice in Economic Contexts Kay-Yut Chen & Daniel S. Levine Anthropology 10. Towards autonomous artificial agents? Proposal for a naturalistic activity-based model of (artificial) life --
Corentin Chanet & David Eubelen Logics 11. Toward a Logic of Everyday Reasoning Pei Wang Index.
Series Title: Springer series in cognitive and neural systems, v. 12.
Responsibility: Jordi Vallverdú, Vincent C. Müller, editors.

Abstract:

This edited volume is about how unprejudiced approaches to real human cognition can improve the design of AI. It covers many aspects of human cognition and across 12 chapters the reader can explore multiple approaches about the complexities of human cognitive skills and reasoning, always guided by experts from different but complimentary academic fields. A central concept is explained: blended cognition, the natural skill of human beings for combining constantly different heuristics during their several task-solving activities. Something that was sometimes observed like a problem as "bad reasoning", is now the central key for the understanding of the richness, adaptability and creativity of human cognition. The topic of this book connects in a significant way with the disciplines of psychology, neurology, anthropology, philosophy, logics, engineering, logics, and AI. In a nutshell: understanding better humans for designing better machines. Any person with interests on natural and artificial reasoning should read this book as a primary source of inspiration and a way to achieve a critical thinking on these topics.

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