=Paper= {{Paper |id=Vol-3888/keynote2 |storemode=property |title=Spatial Representations and Image Schemas for Symbol Grounding and Reasoning |pdfUrl=https://ceur-ws.org/Vol-3888/Keynote_2.pdf |volume=Vol-3888 |authors=Zoe Falomir |dblpUrl=https://dblp.org/rec/conf/isd2/Falomir24 }} ==Spatial Representations and Image Schemas for Symbol Grounding and Reasoning== https://ceur-ws.org/Vol-3888/Keynote_2.pdf
                                .

                         Keynote
                         Spatial Representations and Image Schemas for Symbol
                         Grounding and Reasoning
                         Zoe Falomir
                         Umeå University, Umeå, Sweden


                                     Abstract
                                     .


                            Qualitative representations (QRs) concern the representations that people use to understand contin-
                         uous aspects of the world. On one hand, QRs have been used in the literature to bridge the sensory-
                         semantic gap towards solving the symbol grounding problem in autonomous systems (AS). On the
                         other hand, QRs and image schemas have a common basis since both model embodied sensory-motor
                         interactions and can be combined for deconstructing blends and find meaning. Finally, some qualitative
                         reasoning models based on perceptual ability tests (e.g. paper-folding) may inspire new image schemas,
                         for example, by AS learning the patterns of sensory-motor interactions that deconstruct the situation
                         steps to resolve the tests.




                          The Eighth Image Schema Day (ISD8), Bozen-Bolzano, November 2024
                          $ zoe.falomir@umu.se (Z. Falomir)
                           0000-0002-6398-8488 (Z. Falomir)
                                    © 2024 Copyright for this paper by its author. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


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