(How) do connectionist networks model cognition?
Our rough guess is there are 47,000 words in this book.
At a pace averaging 250 words per minute, this book will take 3 hours and 8 minutes to read. With a half hour per day, this will take 6 days to read.
How long will it take you?
This book will take an estimated to read at a reading speed averaging words per minute. With 30 minutes per day, this will take to read.
Enter your reading speedYou can take one of our WPM reading speed tests to find your reading speed.
Create a free account to track your reading progress, build your reading list, and set reading goals.
Word Count
47,000 words, Guess
Page Count
188 pages
Identifiers
- ISBN-100612918068
- ISBN-139780612918061
- Open LibraryOL20338676M
Description
Over the past two decades connectionist computational models of cognitive processes have come to predominate over traditional symbolic computational models. Whereas, however, it was relatively clear what aspects the parts of the symbolic models mapped on to in the cognitive domain (e.g., concepts, beliefs, desires), it has never been completely clear what the components of connectionist networks (e.g., units, connections) map on to in either the cognitive domain or some other "nearby" domain. Connectionist frequently speak of the "neural inspiration" and "biological plausibility" of the networks, they rarely concede that they are literally engaged in a process of directly modeling the neural organization that is thought to underlie cognition.In this dissertation I attempt to discover exactly what, if anything, connectionist models of cognition model. After briefly surveying the early history of connectionism in chapter l, I go on, in chapter 2, to closely examine the words of connectionists themselves on the issue of what the networks correspond to in the cognitive, neurological, (or other?) domain. Finding no clear answer there, in Chapter 3 I turn to the philosophical literature having to do with scientific explanation and scientific models to see if connectionist practices can be understood in those terms. Although I find some possible parallels in the work of semantic and post-semantic philosophers of science, a coherent account of connectionism does not emerge. Finally, in Chapter 4, I explore directly the claim that connectionist networks are idealized models of the neural structure that underpins cognition. I run several original connectionist simulations, attempting to "add back" neurological details that performance, however, it makes it considerable worse and the adding of extra computational resources do not seem to be able to resolve the new problems. Chapter 5 summarizes the complete argument of the dissertation and identifies the crucial dilemma that I believe to be facing connectionist cognitive science at this point in time.
Subjects
Links
Reader Reviews
No reviews yet for this book.
Be the first to share your thoughts!