From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition A Collection in Honour of Aaron Sloman /

Cognitive Science is a discipline that brings together research in natural and artificial systems and this is clearly reflected in the diverse contributions to From Animals to Robots and Back: Reflections on Hard Problems in the Study of Cognition. In tribute to Aaron Sloman and his pioneering work...

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Institutionell upphovsman: SpringerLink (Online service)
Övriga upphovsmän: Wyatt, Jeremy L. (Utgivare, redaktör, sammanställare, http://id.loc.gov/vocabulary/relators/edt), Petters, Dean D. (Utgivare, redaktör, sammanställare, http://id.loc.gov/vocabulary/relators/edt), Hogg, David C. (Utgivare, redaktör, sammanställare, http://id.loc.gov/vocabulary/relators/edt)
Materialtyp: Elektronisk E-bok
Språk:English
Publicerad: Cham : Springer International Publishing : Imprint: Springer, 2014.
Upplaga:1st ed. 2014.
Serie:Cognitive Systems Monographs, 22
Ämnen:
Länkar:https://doi.org/10.1007/978-3-319-06614-1
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Innehållsförteckning:
  • 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.