Table of Contents

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.