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Titlebook: Biomimetic Neural Learning for Intelligent Robots; Intelligent Systems, Stefan Wermter,Günther Palm,Mark Elshaw Book 2005 Springer-Verlag B

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Detecting Sequences and Understanding Language with Neural Associative Memories and Cell Assemblies apple to yellow cup”. This involves parsing and understanding of simple sentences and “symbol grounding”, for example, relating the nouns to concrete objects sensed by the camera and recognized by a neural network from the visual input.
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Learning to Interpret Pointing Gestures: Experiments with Four-Legged Autonomous Robotsermit reliably to discriminate between left and right pointing gestures. This is a first step towards more complex attention coordination behaviour. We discuss the results of this experiment in relation to possible developmental scenarios about how children learn to interpret pointing gestures.
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Language, Logic and Epistemologynd what we do and feel. This parsimonious modeling mechanism is embodied simulation. The mirror neuron system is likely a neural correlate of this mechanism. This account shades some light on too often sidelined aspects of social cognition. More generally, it emphasizes the role played in cognition by neural sensory-motor integration.
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Towards Biomimetic Neural Learning for Intelligent Robotsus models were developed based on principles such as cell assemblies, associative neural networks, and Hebbian-type learning in order to associate vision, language and motor concepts. Furthermore, we introduce the chapters of this book from other researchers who attended our AI-workshop on NeuroBotics.
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The Intentional Attunement Hypothesis The Mirror Neuron System and Its Role in Interpersonal Relationd what we do and feel. This parsimonious modeling mechanism is embodied simulation. The mirror neuron system is likely a neural correlate of this mechanism. This account shades some light on too often sidelined aspects of social cognition. More generally, it emphasizes the role played in cognition by neural sensory-motor integration.
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