Biomimetic Neural Learning for Intelligent Robots: by Stefan Wermter, Günther Palm, Mark Elshaw

By Stefan Wermter, Günther Palm, Mark Elshaw

This cutting-edge survey comprises chosen papers contributed by way of researchers in clever structures, cognitive robotics, and neuroscience together with contributions from the MirrorBot undertaking and from the NeuroBotics Workshop 2004. The examine paintings awarded demonstrates major novel advancements in biologically encouraged neural types to be used in clever robotic environments and biomimetic cognitive behavior.

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Extra resources for Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience

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Wermter et al. ): Biomimetic Neural Learning, LNAI 3575, pp. 31–53, 2005. c Springer-Verlag Berlin Heidelberg 2005 32 A. Knoblauch and F. Pulverm¨ uller It is undeniable that these abilities have a neural implementation in the human brain. However, researchers disagree to what degree the abilities to learn complex sequences, to form lexical categories, and to generalise syntactic rules or regularities are based on genetically determined and pre-wired circuits [1, 2] or emerge in a universal learning device as a consequence of associative learning [3, 4].

Fig. 1). Also shown are simulation results (thick gray line) and the peak maxima (crosses) as computed from eqs. 41,42 where for brevity we write α(t) instead of ατ,τx (t). The peak amplitude of the critical SD is the peak of the “second” alpha function and can therefore be obtained from eq. 38 by substituting ν = w·α(∆)/(1−τx /τ ) and c = s+w·e−∆/τ , while the peak amplitude of the inverse SD is the peak of either the first or the second alpha function, w · α(∆) Pα,β = xmax (s + w · e−∆/τ , ), (41) 1 − τx /τ s · α(∆) Pβ,α = max xmax (s, 0), xmax (w + s · e−∆/τ , ) .

Thus, social stimuli are also understood on the basis of the explicit cognitive elaboration of their contextual aspects and of previous information. The point is that these two mechanisms are not mutually exclusive. Embodied simulation is experience-based, while the second mechanism is a cognitive description of an external state of affairs. Embodied simulation scaffolds the propositional, more cognitively sophisticated mind reading abilities. When the former mechanism is not present or malfunctioning, as perhaps in autism (see [16, 19]), the latter one can provide only a pale, detached account of the social experiences of others.

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