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Erschienen in:
Moving Robots from Industrial Sectors to Domestic Spheres: A Foreword Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

3. Adaptive and Evolutive Algorithms: A Natural Logic for Artificial Mind

verfasst von : Mauro Maldonato, Silvia Dell’Orco

Erschienen in: Toward Robotic Socially Believable Behaving Systems - Volume II

Verlag: Springer International Publishing

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Abstract

This paper focuses on one of the biggest challenges we face: the possibility of reproducing in an artificial agent (based on formal algorithms) some typically human capacities (based on natural logic algorithms) such as consciousness, the ability to deliberate and make moral judgments. Recent evidences arising from dynamic systems theory and statistical learning, from the psychobiology of development and molecular neuroscience are overcoming some of the fundamental assumptions of artificial intelligence and the cognitive science of the last 50 years. From the molecular level to the social one, these new approaches analyze and exploit the structure of complex causal systems physically incorporated and integrated with the environment, setting the stage for the emergence of organisms capable of adaptive flexibility and intelligent behavior.

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Vorheriges Kapitel Modeling Social Signals and Contexts in Robotic Socially Believable Behaving Systems
Nächstes Kapitel Toward Conscious-Like Conversational Agents
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Metadaten
Titel
Adaptive and Evolutive Algorithms: A Natural Logic for Artificial Mind
verfasst von
Mauro Maldonato
Silvia Dell’Orco
Copyright-Jahr
2016
Buch
Toward Robotic Socially Believable Behaving Systems - Volume II

Print ISBN: 978-3-319-31052-7

Electronic ISBN: 978-3-319-31053-4

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-31053-4_3

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