• Refine your search:
  • 
    Keyword
  • 
    Creator / Publisher:
    
    • Wermter, S. (2)
    • Cangelosi, A (1)
    • Lehnert, W.G. (1)
    • Magg, S. (1)
    • Sutherland, A. (1)
    • Wermter, S (1)
    • Zhong, J (1)
  • 
    Year
  • 
    Medium
  • 
    Type
  • 
    BLLDB-Access:
    • free (3)
    • subject to license (0)

Search in the Catalogues and Directories

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 Hits 1 – 3 of 3 1 Leveraging Recursive Processing for Neural-Symbolic Affect-Target Associations ... Sutherland, A.; Magg, S.; Wermter, S.. - : arXiv, 2021 BASE Show details 2 Toward a self-organizing pre-symbolic neural model representing sensorimotor primitives. Zhong, J; Cangelosi, A; Wermter, S. - : Switzerland, 2014 Abstract: The acquisition of symbolic and linguistic representations of sensorimotor behavior is a cognitive process performed by an agent when it is executing and/or observing own and others' actions. According to Piaget's theory of cognitive development, these representations develop during the sensorimotor stage and the pre-operational stage. We propose a model that relates the conceptualization of the higher-level information from visual stimuli to the development of ventral/dorsal visual streams. This model employs neural network architecture incorporating a predictive sensory module based on an RNNPB (Recurrent Neural Network with Parametric Biases) and a horizontal product model. We exemplify this model through a robot passively observing an object to learn its features and movements. During the learning process of observing sensorimotor primitives, i.e., observing a set of trajectories of arm movements and its oriented object features, the pre-symbolic representation is self-organized in the parametric units. These representational units act as bifurcation parameters, guiding the robot to recognize and predict various learned sensorimotor primitives. The pre-symbolic representation also accounts for the learning of sensorimotor primitives in a latent learning context. Keyword: horizontal product; parametric biases; pre-symbolic communication; recurrent neural networks; sensorimotor integration URL: https://doi.org/10.3389/fnbeh.2014.00022 http://hdl.handle.net/10026.1/3602 BASE Hide details 3 Noun phrase analysis with connectionist networks Wermter, S.; Lehnert, W.G. In: Connectionist approaches to natural language processing (Hove [etc.], 1992), P. 75-96 MPI für Psycholinguistik Show details

Mobile view All Catalogues UB Frankfurt Linguistik 0 IDS Mannheim 0 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 0 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 0 Bibliographies BLLDB 0 BDSL 0 IDS Bibliografie zur deutschen Grammatik 0 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 1 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 2 Linguistik-Repository 0 IDS Publikationsserver 0 Online dissertations 0 Language Description Heritage 0