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Phenotropic Interaction [electronic resource] : Improving Interfaces with Computing with Words and Perceptions /

By: Contributor(s): Material type: TextTextSeries: Fuzzy Management MethodsPublisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XXV, 168 p. 31 illus., 27 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031428197
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 658.4038 23
LOC classification:
  • HF54.5-.56
Online resources:
Contents:
Introduction -- Phenotropic Interaction -- Cognitive and Perceptual Computing -- Semantic Similarity Measures -- Automatic Precisiation of Meaning -- Fuzzy Analogical Reasoning -- Phenotropic Interaction in Virtual Assistants -- Phenotropic Interaction in Smart Cities -- Outlook and Conclusions.
In: Springer Nature eBookSummary: Successful interaction between humans and artificial systems allows for combining the advantages of all actors in solving problems. However, interaction is often demanding for people, as it builds on artificial concepts, such as strict protocols. This book presents the new paradigm of 'phenotropic' interaction, which aims to improve the naturalness of the interaction thanks to bio-inspired approaches. These include methods for understanding and reasoning with human perceptions expressed as natural language, fundamental to support the artificial system to better understand people's real desires and needs. Methods for improving the theories of computing with words and perceptions are developed in this book and applied to concrete use cases in prototypes enhancing the exchange of information with virtual assistants and smart city ecosystems. The presented use cases serve not only as examples of the application of the phenotropic interaction principles but also to verify their effectiveimpact on communication.
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Introduction -- Phenotropic Interaction -- Cognitive and Perceptual Computing -- Semantic Similarity Measures -- Automatic Precisiation of Meaning -- Fuzzy Analogical Reasoning -- Phenotropic Interaction in Virtual Assistants -- Phenotropic Interaction in Smart Cities -- Outlook and Conclusions.

Successful interaction between humans and artificial systems allows for combining the advantages of all actors in solving problems. However, interaction is often demanding for people, as it builds on artificial concepts, such as strict protocols. This book presents the new paradigm of 'phenotropic' interaction, which aims to improve the naturalness of the interaction thanks to bio-inspired approaches. These include methods for understanding and reasoning with human perceptions expressed as natural language, fundamental to support the artificial system to better understand people's real desires and needs. Methods for improving the theories of computing with words and perceptions are developed in this book and applied to concrete use cases in prototypes enhancing the exchange of information with virtual assistants and smart city ecosystems. The presented use cases serve not only as examples of the application of the phenotropic interaction principles but also to verify their effectiveimpact on communication.

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