3x3report.pdf - Cognitive Systems Insights Examples Systems...

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Cognitive Systems: Insights, Examples, Systems — Report from the EUCog 3 x 3 Questionnaire Nathan Labhart Artificial Intelligence Lab, University of Zurich [email protected] 2014-05-29 Table of Contents Introduction .......................................................................................................................................... 1 Embodiment ......................................................................................................................................... 2 Human-machine/human-computer interaction ..................................................................................... 2 Robots ................................................................................................................................................... 3 Emotions ............................................................................................................................................... 3 Medical, rehabilitation, care ................................................................................................................. 4 Ethics and societal issues ...................................................................................................................... 4 Vision and perception ........................................................................................................................... 5 Autonomy and navigation .................................................................................................................... 5 Planning and control ............................................................................................................................. 5 Manipulation ......................................................................................................................................... 6 Cognition .............................................................................................................................................. 6 Language .............................................................................................................................................. 7 Bio-inspiration, understanding by building .......................................................................................... 7 Understanding and modeling the human brain, Neural Networks ....................................................... 8 Knowledge representation .................................................................................................................... 8 Learning ................................................................................................................................................ 8 CSR/EUCognition/Interdisciplinary research ...................................................................................... 9 Issues .................................................................................................................................................. 10 Introduction Since early November 2013 a questionnaire had been available on the EUCog website, asking the members for three (or more) key insights, characteristic examples, and working systems or system components enabled by Cognitive Systems Research (CSR). By mid-May 2014 a total of 153 response sets were submitted (EUCogIII has roughly 950 members), resulting in about 360 insights, 330 examples, and 260 systems mentioned. As a general observation it should be noted that the responses were completely unstructured, they varied from a single word or URL (to a project website or scientific article) to entire paragraphs with multiple references – and often unspecific. Even in the “systems” category there were few concrete “outcomes” mentioned. In addition, the focus was on CSR in general, not so much Europe- specific. This report provides a thematically clustered overview of the responses, interspersed with “quotable” statements printed in italics. Cognitive Systems: Insights, Examples, Systems – Report from the EUCog 3 x 3 Questionnaire 1/11
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Embodiment One of the key insights of CSR is clearly the importance of “embodiment” as a concept to better understand cognitive processes, i.e., the view that cognition (or intelligence 1 ) emerges from the interaction of brain, body, and environment. Flexibility and intelligence are seen as properties of embodied, situated systems, and embodiment is needed for the development of cognitive abilities as cognition is strongly contingent upon our bodily immersion in an environment to which we are coupled through sensory and motor processes. In short: Embodiment and cognition are inseparable – the body shapes the mind and the mind shapes the body. From this follows that complex behavior does not necessarily need complex internal mechanisms but can be the result from “simple” interactions with the environment. For example, many higher cognitive abilities rely on basic sensorimotor capacities. Embodied systems are never purely reactive, as sensory input may stimulate motor output (a “proactive” change of the environment), which in turn leads to new sensory input, etc.
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