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1
Attribution of Autonomy and its Role in Robotic Language Acquisition
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Attribution of Autonomy and its Role in Robotic Language Acquisition
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3
Example recordings of human-robot interactions in the prohibition experiment ...
Foerster, Frank; Neyhaniv, Chrystopher; Saunders, Joe. - : University of Hertfordshire, 2019
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4
Enactivism and Robotic Language Acquisition: A Report from the Frontier
Foerster, Frank. - 2019
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5
Example recordings of human-robot interactions in the rejection and prohibition experiments
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6
Enactivism and Robotic Language Acquisition: A Report from the Frontier
Foerster, Frank. - 2019
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7
Robots Learning to Say `No': Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation
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8
Enactivism and Robotic Language Acquisition: A Report from the Frontier
Foerster, Frank. - 2019
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9
Robots Learning to Say `No': Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation
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10
Robots Learning to Say `No': Prohibition and Rejective Mechanisms in Acquisition of Linguistic Negation ...
Abstract: `No' belongs to the first ten words used by children and embodies the first active form of linguistic negation. Despite its early occurrence the details of its acquisition process remain largely unknown. The circumstance that `no' cannot be construed as a label for perceptible objects or events puts it outside of the scope of most modern accounts of language acquisition. Moreover, most symbol grounding architectures will struggle to ground the word due to its non-referential character. In an experimental study involving the child-like humanoid robot iCub that was designed to illuminate the acquisition process of negation words, the robot is deployed in several rounds of speech-wise unconstrained interaction with naïve participants acting as its language teachers. The results corroborate the hypothesis that affect or volition plays a pivotal role in the socially distributed acquisition process. Negation words are prosodically salient within prohibitive utterances and negative intent interpretations such that ... : Submitted journal article. 21 pages main paper plus 28 pages supplementary information / appendix. 8 figures in main paper ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; I.2.6; I.2.7; I.5.5; H.5.2; Robotics cs.RO
URL: https://arxiv.org/abs/1810.11804
https://dx.doi.org/10.48550/arxiv.1810.11804
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11
Robots that Say ‘No’. Affective Symbol Grounding and the Case of Intent Interpretations
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12
Coding Scheme for Negative Utterances
Foerster, Frank. - 2018
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13
Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles
Zeschel, Arne [Verfasser]; Lyon, Caroline [Verfasser]; Nehaniv, Chrystopher L. [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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14
Embodied language learning and cognitive bootstrapping: methods and design principles
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15
Embodied Language Learning and Cognitive Bootstrapping: Methods and Design Principles
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16
The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning
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17
Robots that Say ’No’: Acquisition of Linguistic Behaviour in Interaction Games with Humans ...
Foerster, Frank. - : UH Research Archive, 2013
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18
Interaction and Experience in Enactive Intelligence and Humanoid Robotics
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19
Robots that Say ’No’: Acquisition of Linguistic Behaviour in Interaction Games with Humans
Foerster, Frank. - 2013
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20
Robot Acquisition of Lexical Meaning : Moving Towards the Two-word Stage
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