Strong Semantic Computing⁎

Standard computing will be characterized as a functional extension of syntax. Using BICA claim of continuity between human-animal-robot cognitive architectures, we will define strong semantics as the ability of a cognitive architectures to consult cognitive maps, in particular phenomenal content maps (Damasio, 2010). This follows the work on semantic maps, yet the maps we postulate are based on phenomenal markers not syntax and predicative logic. We define extra strong semantic maps (and extra strong computing in general) as those that go beyond human capabilities. The goal of strong semantic computing in autonomous robotics should be to 'know what is going on' (Sanz, 2012) before engaging in detailed logical analysis. Such sort of Gestalt computing is needed in advanced autonomous robotics, especially robots functioning in human environments.