Online research in philosophy

I applaud Mitchell et al.’s expanded emphasis on cognition in learning theory, for our understanding pervades all we do. Nevertheless, there are fundamental problems with the propositional approach they propose. The title bills a propositional approach to human associative learning, animal learning being tucked in later as an egalitarian gesture, but the model proposed would be a standard neo-classic account of human learning in terms of a representational theory of mind /except for /its universal extension to all learning, human and otherwise. Such neo-classic accounts deem it explanation enough of some human behavior to hypothesize rich formal structures of inference and sentence generation internal to the organism as causes of like changes in behavior. The hypothesized structures are extrapolated from formal linguistics and formal logic. Some have found such explanations useful, not surprisingly for computer modeling of human linguistic behavior, but the target article’s bold step is to extend the neo-classic model to all animal learning.

What is the mind? How does it work? How does it influence behavior? Some psychologists hope to answer such questions in terms of concepts drawn from computer science and artificial intelligence. They test their theories by modeling mental processes in computers. This book shows how computer models are used to study many psychological phenomena--including vision, language, reasoning, and learning. It also shows that computer modeling involves differing theoretical approaches. Computational psychologists disagree about some basic questions. For instance, should the mind be modeled by digital computers, or by parallel-processing systems more like brains? Do computer programs consist of meaningless patterns, or do they embody (and explain) genuine meaning?

This monograph explains in terms of specified neuronal brain mechanisms and systems, how the human brain does its cognitive work. It elucidates functions such as declarative and episodic learning, imagery, spatial representation, object recognition, semantic processing, narrative comprehension, planning, and motivation. Neurophysiological, psychological, and clinical findings are presented in support of the theoretical model, and a variety of computer simulation tests demonstrate its competence.