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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...45 Hits 1 – 20 of 882 1 From Biological Synapses to “Intelligent” Robots Dresp, Birgitta In: ISSN: 2079-9292 ; Electronics ; https://hal.archives-ouvertes.fr/hal-03590998 ; Electronics, MDPI, 2022, 11 (5), pp.707. ⟨10.3390/electronics11050707⟩ (2022) BASE Show details 2 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 3 Cross-Situational Learning Towards Robot Grounding OOTA, Subba Reddy; Alexandre, Frédéric; Hinaut, Xavier In: https://hal.archives-ouvertes.fr/hal-03628290 ; 2022 (2022) BASE Show details 4 Finding the best way to put media bias research into practice via an annotation app ... Hornung, Tilman. - : Open Science Framework, 2022 BASE Show details 5 Are neural language models sensitive to false belief? A computational study. ... Trott, Sean. - : Open Science Framework, 2022 BASE Show details 6 Structured, flexible, and robust: comparing linguistic plans and explanations generated by humans and large language models ... Wei, Megan. - : Open Science Framework, 2022 BASE Show details 7 NewGen Libraries: The World of Artificial Intelligence ... Chithra Ashok. - : Zenodo, 2022 BASE Show details 8 NewGen Libraries: The World of Artificial Intelligence ... Chithra Ashok. - : Zenodo, 2022 BASE Show details 9 Can distributional semantics explain performance on the false belief task? ... Trott, Sean. - : Open Science Framework, 2022 BASE Show details 10 Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data ... Toyoda, Minori; Suzuki, Kanata; Hayashi, Yoshihiko. - : arXiv, 2022 BASE Show details 11 SGL: Symbolic Goal Learning in a Hybrid, Modular Framework for Human Instruction Following ... Xu, Ruinian; Chen, Hongyi; Lin, Yunzhi. - : arXiv, 2022 BASE Show details 12 Self-supervised 3D Semantic Representation Learning for Vision-and-Language Navigation ... Tan, Sinan; Ge, Mengmeng; Guo, Di. - : arXiv, 2022 BASE Show details 13 Interactive Robotic Grasping with Attribute-Guided Disambiguation ... Yang, Yang; Lou, Xibai; Choi, Changhyun. - : arXiv, 2022 BASE Show details 14 The Enforcers: Consistent Sparse-Discrete Methods for Constraining Informative Emergent Communication ... Karten, Seth; Agrawal, Siddharth; Tucker, Mycal. - : arXiv, 2022 BASE Show details 15 The Body, the Soul, the Robot: 21st-Century Monism ... Liggieri, Kevin; Tamborini, Marco. - : Technology and Language, 3(1), 29-39, 2022 BASE Show details 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 BASE Show details 17 The influence of animacy on perspective-taking and word order during language production ... Brough, Jessica. - : Open Science Framework, 2022 BASE Show details 18 Unsupervised Multimodal Word Discovery based on Double Articulation Analysis with Co-occurrence cues ... Taniguchi, Akira; Murakami, Hiroaki; Ozaki, Ryo; Taniguchi, Tadahiro. - : arXiv, 2022 Abstract: Human infants acquire their verbal lexicon from minimal prior knowledge of language based on the statistical properties of phonological distributions and the co-occurrence of other sensory stimuli. In this study, we propose a novel fully unsupervised learning method discovering speech units by utilizing phonological information as a distributional cue and object information as a co-occurrence cue. The proposed method can not only (1) acquire words and phonemes from speech signals using unsupervised learning, but can also (2) utilize object information based on multiple modalities (i.e., vision, tactile, and auditory) simultaneously. The proposed method is based on the Nonparametric Bayesian Double Articulation Analyzer (NPB-DAA) discovering phonemes and words from phonological features, and Multimodal Latent Dirichlet Allocation (MLDA) categorizing multimodal information obtained from objects. In the experiment, the proposed method showed higher word discovery performance than the baseline methods. In ... Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Robotics cs.RO URL: https://dx.doi.org/10.48550/arxiv.2201.06786 https://arxiv.org/abs/2201.06786 BASE Hide details 19 Machine infelicity in a poignant visitor setting: Comparing human and AI’s ability to analyze discourse MacCarthy, Martin; Shan, Hairong In: Research outputs 2014 to 2021 (2022) BASE Show details 20 Integrating Blockchains and Intelligent Agents in the Pursuit of Artificial General Intelligence Fluharty, Benjamin In: Senior Honors Theses (2022) BASE Show details Page: 1 2 3 4 5...45

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