Computer Science – Artificial Intelligence
Scientific paper
2011-11-29
Computer Science
Artificial Intelligence
subm. to: Esposito, Anna, Alessandro Vinciarelli, R\"udiger Hoffmann, & Vincent C. M\"uller (Eds) (2012) Cognitive Behavioural
Scientific paper
Until very recently most language research has, in a Cartesian manner, traditionally regarded linguistic phenomena as internal, mental, isolationist and amodal (that is, separate and independent from perception, action and emotion systems, and the body); a view endorsed in psychology, philosophy, and linguistics. This could lead one into believing that in order to emulate linguistic behaviour, it suffices to develop 'software' operating on abstract representations that will work on any computational machine, and that its operations will be implementation-independent, functioning identically regardless of the physical hardware. If the system to be developed is to truly mimic human behaviour, this picture is not very adequate for several reasons, which are elaborated on in the present paper. Independently of theoretical persuasion, without taking into account both the architecture of the human brain, and embodiment - the interaction of the language faculty with the sensory apparatus and motor system - it is unrealistic to replicate accurately the processes which take place during language acquisition, comprehension, production, and non-linguistic actions. Cognitive mechanisms are synergistically intertwined with affective and somatic components, and largely inseparable. While evidently robots, even anthropomorphic ones, are far from isomorphic with humans in terms of both the 'brain' and the rest of the body, and robust artificial cognitive agents can bypass many human limitations, they could benefit from strengthened associative connections owing to the motor and semantic resonance in both optimisation of their processes, and reactivity and sensitivity to environmental stimuli, across a range of tasks.
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