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1
From Biological Synapses to “Intelligent” Robots
In: ISSN: 2079-9292 ; Electronics ; https://hal.archives-ouvertes.fr/hal-03590998 ; Electronics, MDPI, 2022, 11 (5), pp.707. ⟨10.3390/electronics11050707⟩ (2022)
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2
Cross-Situational Learning Towards Robot Grounding
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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3
Cross-Situational Learning Towards Robot Grounding
In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022)
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4
Finding the best way to put media bias research into practice via an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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5
Are neural language models sensitive to false belief? A computational study. ...
Trott, Sean. - : Open Science Framework, 2022
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6
Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ...
Wei, Megan. - : Open Science Framework, 2022
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7
NewGen Libraries: The World of Artificial Intelligence ...
Chithra Ashok. - : Zenodo, 2022
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8
NewGen Libraries: The World of Artificial Intelligence ...
Chithra Ashok. - : Zenodo, 2022
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9
Can distributional semantics explain performance on the false belief task? ...
Trott, Sean. - : Open Science Framework, 2022
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10
Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ...
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11
SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following ...
Xu, Ruinian; Chen, Hongyi; Lin, Yunzhi. - : arXiv, 2022
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12
Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation ...
Tan, Sinan; Ge, Mengmeng; Guo, Di. - : arXiv, 2022
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13
Interactive Robotic Grasping with Attribute-Guided Disambiguation ...
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14
The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication ...
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15
The Body, the Soul, the Robot: 21st-Century Monism ...
Liggieri, Kevin; Tamborini, Marco. - : Technology and Language, 3(1), 29-39, 2022
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16
The Construction of the Robot in Language and Culture, “Intercultural Robotics” and the “Third Robot Culture” ...
Cheng, Lin. - : Technology and Language, 3(1), 1-8, 2022
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17
The influence of animacy on perspective-taking and word order during language production ...
Brough, Jessica. - : Open Science Framework, 2022
Abstract: Describing interactions between objects often requires the speaker to choose a perspective, and mention one object first and the other second. Speakers have a tendency to make the most animate object in a scene the subject of a sentence, and to mention this object first (Prat-Sala & Branigan, 2000). For example, it is more common to say the man ran away from the dog rather than the dog chased the man, therefore taking the perspective of the man. This bias is considered to occur because of the way speakers perceive animacy: on a hierarchy, with humans at the top and concepts or inanimate objects near the bottom (Harris, 1978; Aissen, 2003). An animacy hierarchy is thought to be the product of conceptual accessibility; the more conceptually accessible something is, the easier it is to retrieve and the more likely it is to be uttered earlier on in a sentence. Animate entities are considered to be more conceptually accessible than less animate entities (McDonald, Bock & Kelly, 1993; Bock & Warren ...
Keyword: Animacy; Bias; Cognitive Psychology; FOS Languages and literature; FOS Psychology; Language biases; Language Production; Linguistics; Perspective taking; Psycholinguistics and Neurolinguistics; Psychology; Social and Behavioral Sciences; Social Psychology; Social Robotics
URL: https://dx.doi.org/10.17605/osf.io/a5fby
https://osf.io/a5fby/
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18
Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues ...
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19
Machine infelicity in a poignant visitor setting: Comparing human and AI’s ability to analyze discourse
In: Research outputs 2014 to 2021 (2022)
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20
Integrating Blockchains and Intelligent Agents in the Pursuit of Artificial General Intelligence
In: Senior Honors Theses (2022)
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