Part 1: Foundational concepts. What kind of systems do we study?
Organism-environment dualism
Direct perceiving, indirect perceiving
Simulative, projective and locality assumptions
The mechanistic hypothesis
Empiricism and the man in the inner room
The space enigmas I: Berkeley
The space enigmas II: Kant, the nature of geometry, and the geometry of nature
The space enigmas III: Local signs and geometrical empiricism
Doctrines of sensations and unconscious inferences
The space enigmas IV: On learning space perception
Gestaltism I: Atomism, anatomism and mechanistic order
Gestalt theory II: Fields, self-organization, and the invariance postulate of evolution
Gestalt theory III: Experience error, CNS error, psycho-neural isomorphism, behavioral environment
Part 2: Computational-representational perspective. The computational-representational perspective: Preliminaries. Pattern recongition and represenation bearers
Turing reductionism, token physicalism: The computational system assumption
Reflections on the physical symbol system hypothesis
Part 3: Ecological perspective. Ecology: The science that reasons why
Barriers to ecological realism
Ontology at the ecological scale
Perceiving "how to get about among things"
The mechanical basis for "getting about among things"
Strong anticipation and direct perception