21 found
Order:
  1. A Robot Is Not Worth Another: Exploring Children’s Mental State Attribution to Different Humanoid Robots.Federico Manzi, Giulia Peretti, Cinzia Di Dio, Angelo Cangelosi, Shoji Itakura, Takayuki Kanda, Hiroshi Ishiguro, Davide Massaro & Antonella Marchetti - 2020 - Frontiers in Psychology 11.
  2.  24
    Shall I Trust You? From Child–Robot Interaction to Trusting Relationships.Cinzia Di Dio, Federico Manzi, Giulia Peretti, Angelo Cangelosi, Paul L. Harris, Davide Massaro & Antonella Marchetti - 2020 - Frontiers in Psychology 11.
    Studying trust in the context of human-robot interaction is of great importance given the increasing relevance and presence of robotic agents in the social sphere, including educational and clinical. We investigated the acquisition, loss and restoration of trust when preschool and school-age children played with either a human or a humanoid robot in-vivo. The relationship between trust and the representation of the quality of attachment relationships, Theory of Mind, and executive function skills was also investigated. Additionally, to outline children’s beliefs (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   7 citations  
  3.  41
    An Embodied Model for Sensorimotor Grounding and Grounding Transfer: Experiments With Epigenetic Robots.Angelo Cangelosi & Thomas Riga - 2006 - Cognitive Science 30 (4):673-689.
    The grounding of symbols in computational models of linguistic abilities is one of the fundamental properties of psychologically plausible cognitive models. In this article, we present an embodied model for the grounding of language in action based on epigenetic robots. Epigenetic robotics is one of the new cognitive modeling approaches to modeling autonomous mental development. The robot model is based on an integrative vision of language in which linguistic abilities are strictly dependent on and grounded in other behaviors and skills. (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   14 citations  
  4.  46
    (1 other version)Why Are There Developmental Stages in Language Learning? A Developmental Robotics Model of Language Development.Anthony F. Morse & Angelo Cangelosi - 2016 - Cognitive Science 40 (8):32-51.
    Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models that do span multiple developmental stages typically have parameters to “switch” between stages. We argue that by taking an embodied view, the interaction between learning mechanisms, the resulting behavior of the agent, and the opportunities for learning that the environment provides can account for the stage-wise (...)
    No categories
    Direct download  
     
    Export citation  
     
    Bookmark   4 citations  
  5.  17
    A unified simulation scenario for language development, evolution and historical change.Domenico Parisi & Angelo Cangelosi - 2002 - In Angelo Cangelosi & Domenico Parisi (eds.), Simulating the Evolution of Language. Springer Verlag. pp. 255--275.
    Direct download  
     
    Export citation  
     
    Bookmark   10 citations  
  6. The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning.Frank Broz, Chrystopher L. Nehaniv, Tony Belpaeme, Ambra Bisio, Kerstin Dautenhahn, Luciano Fadiga, Tomassino Ferrauto, Kerstin Fischer, Frank Förster, Onofrio Gigliotta, Sascha Griffiths, Hagen Lehmann, Katrin S. Lohan, Caroline Lyon, Davide Marocco, Gianluca Massera, Giorgio Metta, Vishwanathan Mohan, Anthony Morse, Stefano Nolfi, Francesco Nori, Martin Peniak, Karola Pitsch, Katharina J. Rohlfing, Gerhard Sagerer, Yo Sato, Joe Saunders, Lars Schillingmann, Alessandra Sciutti, Vadim Tikhanoff, Britta Wrede, Arne Zeschel & Angelo Cangelosi - 2014 - Topics in Cognitive Science 6 (3):534-544.
    This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. Our primary concern is how these (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   4 citations  
  7.  71
    Action and Language Integration: From Humans to Cognitive Robots.Anna M. Borghi & Angelo Cangelosi - 2014 - Topics in Cognitive Science 6 (3):344-358.
    The topic is characterized by a highly interdisciplinary approach to the issue of action and language integration. Such an approach, combining computational models and cognitive robotics experiments with neuroscience, psychology, philosophy, and linguistic approaches, can be a powerful means that can help researchers disentangle ambiguous issues, provide better and clearer definitions, and formulate clearer predictions on the links between action and language. In the introduction we briefly describe the papers and discuss the challenges they pose to future research. We identify (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  8.  45
    The grounding and sharing of symbols.Angelo Cangelosi - 2006 - Pragmatics and Cognition 14 (2):275-286.
    The double function of language, as a social/communicative means, and as an individual/cognitive capability, derives from its fundamental property that allows us to internally re-represent the world we live in. This is possible through the mechanism of symbol grounding, i.e., the ability to associate entities and states in the external and internal world with internal categorical representations. The symbol grounding mechanism, as language, has both an individual and a social component. The individual component, called the “Physical Symbol Grounding“, refers to (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   5 citations  
  9.  17
    (2 other versions)Children’s referent selection and word learning.Katherine E. Twomey, Anthony F. Morse, Angelo Cangelosi & Jessica S. Horst - forthcoming - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies:101-127.
    It is well-established that toddlers can correctly select a novel referent from an ambiguous array in response to a novel label. There is also a growing consensus that robust word learning requires repeated label-object encounters. However, the effect of the context in which a novel object is encountered is less well-understood. We present two embodied neural network replications of recent empirical tasks, which demonstrated that the context in which a target object is encountered is fundamental to referent selection and word (...)
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  10. Computer simulation: A new scientific approach to the study of language evolution.Angelo Cangelosi & Domenico Parisi - 2002 - In Angelo Cangelosi & Domenico Parisi (eds.), Simulating the Evolution of Language. Springer Verlag. pp. 3--28.
  11.  24
    Human robot collaborative intelligence.Chenguang Yang, Xiaofeng Liu, Junpei Zhong & Angelo Cangelosi - 2019 - Interaction Studies 20 (1):1-3.
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  12.  75
    Editorial: Language Development in the Digital Age.Mila Vulchanova, Giosuè Baggio, Angelo Cangelosi & Linda Smith - 2017 - Frontiers in Human Neuroscience 11.
  13.  56
    Concepts in artificial organisms.Angelo Cangelosi & Domenico Parisi - 1998 - Behavioral and Brain Sciences 21 (1):68-69.
    Simulations with neural networks living in a virtual environment can be used to explore and test hypotheses concerning concepts and language. The advantages that result from this approach include (1) the notion that a concept can be precisely defined and examined, (2) that concepts can be studied in both nonverbal and verbal artificial organisms, and (3) concepts have properties that depend on the environment as well as on the organism's adaptive behavior in response to the environment.
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  14.  45
    Symposium on “A multi-methodological approach to language evolution”: Introductory article: Studying the evolution of language: a multi-methodological enterprise.Angelo Cangelosi - 2008 - Mind and Society 7 (1):35-41.
    This symposium includes a selection of articles on the origins and evolution of language. These are extended version of selected papers presented at “EVOLANG6: The Sixth International Conference on the Evolution of Language” that was held in Rome in April 2006. This selection of papers provides a multi-methodological view of different approaches to, and theoretical explanations of, the evolution of language.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  15.  10
    (1 other version)Editorial on Evolution of Communication.Angelo Cangelosi - 2009 - Interaction Studies 10 (1):1-4.
  16.  49
    Language evolution in apes and autonomous agents.Angelo Cangelosi - 2002 - Behavioral and Brain Sciences 25 (5):622-623.
    Computational approaches based on autonomous agents share with new ape language research the same principles of dynamical system paradigms. A recent model for the evolution of symbolization and language in autonomous agents is briefly described in order to highlight the similarities between these two methodologies. The additional benefits of autonomous agent modeling in the field of language origin research are highlighted.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  17.  49
    (1 other version)Progress on evolution of communication and Interaction Studies.Kerstin Dautenhahn & Angelo Cangelosi - 2012 - Interaction Studies 13 (1):1-6.
  18.  13
    Progress on evolution of communication and Interaction Studies.Kerstin Dautenhahn & Angelo Cangelosi - 2012 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 13 (1):vii-xvi.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  19.  41
    (1 other version)Cross-situational and supervised learning in the emergence of communication.Jose Fernando Fontanari & Angelo Cangelosi - 2011 - Interaction Studies 12 (1):119-133.
    Scenarios for the emergence or bootstrap of a lexicon involve the repeated interaction between at least two agents who must reach a consensus on how to name N objects using H words. Here we consider minimal models of two types of learning algorithms: cross-situational learning, in which the individuals determine the meaning of a word by looking for something in common across all observed uses of that word, and supervised operant conditioning learning, in which there is strong feedback between individuals (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark  
  20.  21
    Temporal patterns in multi-modal social interaction between elderly users and service robot.Ning Wang, Alessandro Di Nuovo, Angelo Cangelosi & Ray Jones - 2019 - Interaction Studies 20 (1):4-24.
    Social interaction, especially for older people living alone is a challenge currently facing human-robot interaction (HRI). There has been little research on user preference towards HRI interfaces. In this paper, we took both objective observations and participants’ opinions into account in studying older users with a robot partner. The developed dual-modal robot interface offered older users options of speech or touch screen to perform tasks. Fifteen people aged from 70 to 89 years old, participated. We analyzed the spontaneous actions of (...)
    No categories
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  21.  20
    Encoding Longer-Term Contextual Information with Predictive Coding and Ego-Motion.Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata & Xinzheng Zhang - 2018 - Complexity 2018:1-15.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark