Switch to: References

Add citations

You must login to add citations.
  1. How Much of Language Acquisition Does Operant Conditioning Explain?Christopher B. Sturdy & Elena Nicoladis - 2017 - Frontiers in Psychology 8.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  • Reasoning Based on Consolidated Real World Experience Acquired by a Humanoid Robot.Maxime Petit, Grégoire Pointeau & Peter Ford Dominey - 2016 - Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems 17 (2):248-278.
    The development of reasoning systems exploiting expert knowledge from interactions with humans is a non-trivial problem, particularly when considering how the information can be coded in the knowledge representation. For example, in human development, the acquisition of knowledge at one level requires the consolidation of knowledge from lower levels. How is the accumulated experience structured to allow the individual to apply knowledge to new situations, allowing reasoning and adaptation? We investigate how this can be done automatically by an iCub that (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  • The Imperfect Observer: Mind, Machines, and Materialism in the 21st Century.Judith Donath - unknown
    The dualist / materialist debates about the nature of consciousness are based on the assumption that an entirely physical universe must ultimately be observable by humans (with infinitely advanced tools). Thus the dualists claim that anything unobservable must be non-physical, while the materialists argue that in theory nothing is unobservable. However, there may be fundamental limitations in the power of human observation, no matter how well aided, that greatly curtail our ability to know and observe even a fully physical universe. (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  • Integrating Experiential and Distributional Data to Learn Semantic Representations.Mark Andrews, Gabriella Vigliocco & David Vinson - 2009 - Psychological Review 116 (3):463-498.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   38 citations  
  • Word Learning as Bayesian Inference.Fei Xu & Joshua B. Tenenbaum - 2007 - Psychological Review 114 (2):245-272.
  • Goldilocks Forgetting in Cross-Situational Learning.Paul Ibbotson, Diana G. López & Alan J. McKane - 2018 - Frontiers in Psychology 9.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  • Cognitive Science in the Era of Artificial Intelligence: A Roadmap for Reverse-Engineering the Infant Language-Learner.Emmanuel Dupoux - 2018 - Cognition 173:43-59.
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  • Learning to Talk About Events From Narrated Video in a Construction Grammar Framework.Dominey Peter Ford & Jean-David Boucher - 2005 - Artificial Intelligence 167 (1-2).
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  • Emergent Constraints on Word-Learning: A Computational Perspective.Terry Regier - 2003 - Trends in Cognitive Sciences 7 (6):263-268.
  • Incremental Bayesian Category Learning From Natural Language.Lea Frermann & Mirella Lapata - 2016 - Cognitive Science 40 (6):1333-1381.
    Models of category learning have been extensively studied in cognitive science and primarily tested on perceptual abstractions or artificial stimuli. In this paper, we focus on categories acquired from natural language stimuli, that is, words. We present a Bayesian model that, unlike previous work, learns both categories and their features in a single process. We model category induction as two interrelated subproblems: the acquisition of features that discriminate among categories, and the grouping of concepts into categories based on those features. (...)
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark  
  • An Alternative to Mapping a Word Onto a Concept in Language Acquisition: Pragmatic Frames.Katharina J. Rohlfing, Britta Wrede, Anna-Lisa Vollmer & Pierre-Yves Oudeyer - 2016 - Frontiers in Psychology 7.
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  • Credit Assignment in Multiple Goal Embodied Visuomotor Behavior.Constantin A. Rothkopf & Dana H. Ballard - 2010 - Frontiers in Psychology 1.
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  • Designing Meaningful Agents.Matthew Stone - 2004 - Cognitive Science 28 (5):781-809.
    Direct download  
     
    Export citation  
     
    Bookmark  
  • Societal Grounding is Essential to Meaningful Language Use.Matthew Stone - unknown
    well-known arguments dispute the meaningfulness of language use in specific extant systems; the symbols they use..
    Direct download  
    Translate
     
     
    Export citation  
     
    Bookmark   2 citations  
  • Semantics and Computational Semantics.Matthew Stone - unknown
    Interdisciplinary investigations marry the methods and concerns of different fields. Computer science is the study of precise descriptions of finite processes; semantics is the study of meaning in language. Thus, computational semantics embraces any project that approaches the phenomenon of meaning by way of tasks that can be performed by following definite sets of mechanical instructions. So understood, computational semantics revels in applying semantics, by creating intelligent devices whose broader behavior fits the meanings of utterances, and not just their form. (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  • Learning to Interpret Utterances Using Dialogue History.Matthew Stone - unknown
    We describe a methodology for learning a disambiguation model for deep pragmatic interpretations in the context of situated task-oriented dialogue. The system accumulates training examples for ambiguity resolution by tracking the fates of alternative interpretations across dialogue, including subsequent clarificatory episodes initiated by the system itself. We illustrate with a case study building maximum entropy models over abductive interpretations in a referential communication task. The resulting model correctly resolves 81% of ambiguities left unresolved by an initial handcrafted baseline. A key (...)
    Direct download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  • Learning Lexicons From Spoken Utterances Based on Statistical Model Selection.Ryo Taguchi, Naoto Iwahashi, Kotaro Funakoshi, Mikio Nakano, Takashi Nose & Tsuneo Nitta - 2010 - Transactions of the Japanese Society for Artificial Intelligence 25:549-559.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  • Dynamic Self‐Organization and Early Lexical Development in Children.Ping Li, Xiaowei Zhao & Brian Mac Whinney - 2007 - Cognitive Science 31 (4):581-612.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   13 citations  
  • Pragmatically Framed Cross-Situational Noun Learning Using Computational Reinforcement Models.Shamima Najnin & Bonny Banerjee - 2018 - Frontiers in Psychology 9.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  • Concepts as Semantic Pointers: A Framework and Computational Model.Peter Blouw, Eugene Solodkin, Paul Thagard & Chris Eliasmith - 2016 - Cognitive Science 40 (5):1128-1162.
    The reconciliation of theories of concepts based on prototypes, exemplars, and theory-like structures is a longstanding problem in cognitive science. In response to this problem, researchers have recently tended to adopt either hybrid theories that combine various kinds of representational structure, or eliminative theories that replace concepts with a more finely grained taxonomy of mental representations. In this paper, we describe an alternative approach involving a single class of mental representations called “semantic pointers.” Semantic pointers are symbol-like representations that result (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   8 citations  
  • The Coordinated Interplay of Scene, Utterance, and World Knowledge: Evidence From Eye Tracking.Pia Knoeferle & Matthew W. Crocker - 2006 - Cognitive Science 30 (3):481-529.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   24 citations  
  • Fine-Grained Sensitivity to Statistical Information in Adult Word Learning.Athena Vouloumanos - 2008 - Cognition 107 (2):729-742.
  • A Computational Model for the Item‐Based Induction of Construction Networks.Judith Gaspers & Philipp Cimiano - 2014 - Cognitive Science 38 (2):439-488.
    According to usage-based approaches to language acquisition, linguistic knowledge is represented in the form of constructions—form-meaning pairings—at multiple levels of abstraction and complexity. The emergence of syntactic knowledge is assumed to be a result of the gradual abstraction of lexically specific and item-based linguistic knowledge. In this article, we explore how the gradual emergence of a network consisting of constructions at varying degrees of complexity can be modeled computationally. Linguistic knowledge is learned by observing natural language utterances in an ambiguous (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark  
  • The Role of Embodied Intention in Early Lexical Acquisition.Chen Yu, Dana H. Ballard & Richard N. Aslin - 2005 - Cognitive Science 29 (6):961-1005.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   17 citations  
  • Mutual Learning of an Object Concept and Language Model Based on MLDA and NPYLM.Tomoaki Nakamura, Takayuki Nagai, Kotaro Funakoshi, Tadahiro Taniguchi, Naoto Iwahashi & Masahide Kaneko - 2015 - Transactions of the Japanese Society for Artificial Intelligence 30 (3):498-509.
  • Multimodal Categorization Based on Subjective Consistency for Robot Learning Word-Meaning From Human.Yuki Sasamoto, Yuichiro Yoshikawa & Minoru Asada - 2014 - Transactions of the Japanese Society for Artificial Intelligence 29 (5):436-448.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  • Developmental Word Acquisition Through Self-Organized Incremental Neural Network with A Humanoid Robot.Shogo Okada, Xiaoyuan He, Ryo Kojima & Osamu Hasegawa - 2007 - Transactions of the Japanese Society for Artificial Intelligence 22:493-507.
  • The Emergence of Words: Attentional Learning in Form and Meaning.Terry Regier - 2005 - Cognitive Science 29 (6):819-865.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   21 citations