Embodied Cognition and Human-Machine Coexistence
Norris Lee Smith, Oussama H. Hamid
UKH Journal of Science and Engineering December 23, 2017 DOI: 10.25079/ukhjse.v1n1y2017.pp67-71 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Citations | 2 |
| Key points | Argues that true artificial intelligence and cooperative human-machine coexistence require overcoming computational and representational models by connecting machines to the world through bodies with sensory and motor skills, as demonstrated by embodied cognition. Proposes that a hybrid framework combining embodied cognition with representational, abstract, and symbolic aspects is a more realistic path for progress in AI applications. |
Abstract
Recently, we discussed the relative importance of direct perception, embodiment, metaphors, and ethics for cooperative human-machine coexistence. The present paper deepens the examination of embodiment and direct perception by considering differences between computational and representational models on one hand and embodied cognition on the other. We found that to achieve true artificial intelligence (AI) and, hence, a cooperative human-machine coexistence, research must overcome the limitations of computational and representational models. This can be reached by connecting machines to the world through bodies that exhibit sensory and motor skills as demonstrated by embodied cognition. Furthermore, substantial improvement in AI could be achieved by adopting a hybrid framework in which embodiedcognition, for example, may contain representational, abstract, and symbolic aspects. The adoption of such a “both and” instead of “either or” view is a more realistic approach for progress in AI applications.