From animals to robots and back: reflections on hard problems in the study of cognition : a collection in honour of aaron sloman / edited by Jeremy L. Wyatt, Dean D. Petters, David C. Hogg.

Springer eBooks

Bringing together different pieces to better understand whole minds -- Aaron Sloman: A bright tile in AI’s mosaic -- Losing Control Within the H-Cogaff Architecture -- Acting on the world: understanding how agents use information to guide their action -- A Proof and some Representations -- What Does it Mean to Have an Architecture -- Virtual Machines: Non-Reductionist Bridges between the Functional and the Physical -- Building for the Future: Architectures for the Next Generation of Intelligent Robots -- What vision can, can't and should do -- The rocky road from Hume to Kant: correlations and theories in robots and animals -- Combining planning and action, lessons from robots and the natural world -- Developing expertise with objective knowledge: Motive generators and productive practice -- From Cognitive Science to Data Mining: The first intelligence amplifier -- Modelling user linguistic communicative competences for individual and collaborative learning -- Loop-closing semantics.

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