When I began Rethinking innateness, I had hoped that the book might Elman ( ), Exercises in rethinking innateness, which we have. Rethinking innateness. Where does knowledge come from? This was the question we began with. As we suggested at the out- set, the problem is not so much. Rethinking Innateness A connectionist perspective on development [jacket image ]. October, MIT Press ordering information.
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Rethinking Innateness asks the question, “What does it really mean to say that a behavior is innate? These outcomes often may be highly constrained and universal, yet are not themselves directly contained in the genes in any domain-specific way. One of the key contributions of Rethinking Innateness is a taxonomy unnateness ways in which a behavior can be innate.
These include constraints at the level of representation, architecture, and timing; typically, behaviors arise through the interaction of constraints at several of these levels.
The ideas are explored through dynamic models inspired by a new kind of “developmental connectionism,” a marriage of connectionist models and developmental neurobiology, forming a new theoretical framework for innatenses study of behavioral development. While relying heavily on the conceptual and computational tools provided by connectionism, Rethinking Innateness also identifies ways in which these tools need to rethinkinb enriched by closer attention to biology. This a landmark publication in developmental psychology, bringing together ideas from cognitive psychology, connectionist innatenfss, neurobiology and dynamical systems theory.
What makes this book so unusual and effective is that it is not the usual edited collection of papers, but is co-authored by an internationally renowned group of six authors, each with a different persepctive on the problems of explaining developmental processes.
To produce this book, they had to work together to forge links between very different domains, and the synthesis they achieve is remarkable for the new insights it provides into rtehinking questions about innate versus acquired sources of knowledge and the nature of cognitive development.
Rethinking Innateness is a milestone as important as the appearance ten years ago of the PDP books. More integrated in its structure, more elmwn in its approach, this book provides a new theoretical framework for cognition that is based on dynamics, growth, and learning. Study this book if you are interested in how minds emerge from developing brains. These outcomes often may be highly constrained and universal, yet they are not themselves directly contained in the genes in any domain-specific way.
The ideas are explored through dynamic models inspired by a new kind of “developmental connectionism”, a marriage of connectionist models and developmental neurobiology, forming a new theoretical framework for the study of behavioral development. Would you like to tell us about a lower price?
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Customers who bought this item also bought. Page 1 of 1 Start over Page 1 of 1. The Book of Why: The New Science of Cause and Effect. A Developmental Perspective on Cognitive Science. Information Theory, Inference and Learning Algorithms. How the Mind Works. Review This a landmark publication in developmental psychology, bringing together rethihking from cognitive psychology, connectionist modelling, neurobiology and dynamical systems theory.
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Top Reviews Most recent Top Reviews. There was a problem filtering reviews right now. Please try again later. Except from the fact that there was a delay with the shipping, the book was exactly what I expected. I came across this book while studying applied linguistics, and was curious about what Connectionist theory had rethinkinv say against Noam Chomsky’s nativist approach, which is that language is too complex a thing to be learned in the same way that we learn to swim or drive a car, and that it must be genetically ingrained, with a specific “language gene” that determines the fundamental parameters of elmxn all human languages work.
Until reading this, I had heard all the conventional arguments against connectionsim -it was all computers retuinking had nothing to do with the human mind, no computer simulation could ever come close to mimicing the complexity of the human mind, etc.
This book, mostly concerned with human development, has some fascinating and paradigm-changing ideas to add to the debate. If genes are so important, the authors argue, why don’t we come out of the womb as fully formed adults with everything we need to know hardwired into us, as some lower species are? The authors show that there are simple flowers that have more genes than we do, demonstrating that gene count isn’t the last word on an organism’s complexity.
The authors make a powerful case that the state of childhoodand the complex development our minds experience during this time, is the reason that genes with specific codings don’t have to do all the work- we are formed in interaction with our environments.
Rather than explaining everything, connectionist models simply demonstrate how, on the simplest level, our rethinkinb COULD work. While the models are simple, the results are fascinating. While obviously far less complex, the models really elmman demonstrate some of the quirks of human learning and acquisition in ways that more rigid, rule-based artificial intelligence doesn’t.
I could write more, but innnateness is a sprawling book packed with countless innatebess, and even a brief summary would cover several rethinming.
I admit that it can get technical at times, and I had to limit my reading of it to a few pages a day to fully digest it. But if you want to learn about this subject and have the dedication to get through it, it’s an extremely worthwhile and rewarding investment of your time. I’m not used innatwness agreeing. I didn’t find any surprises which surprised me.
The book was compiled in20 years ago but I think, had I read it then, I wouldn’t have been surprised by any of it either. I think the reason is: Inin Hampshire College, I was already fascinated with emergence, neural networking and chaos theories.
It made intuitive sense to me even then, 25 years ago. I was never comfortable with Chomsky nor with the idea of a “human uniqueness” with regards to language, for animals clearly have language which presumably has its own grammatical structures It didn’t take away from enjoying the book, but I still had misgivings.
So, this book I just read is from and they do take aim at Pinker at several points and I found myself nodding my head in agreement. I read this book with an eye for time comparison, as well as filling any gaps in my knowledge on Connectivism. Thinking of what I’ve learned in the period since this book had come out the last 20 yearsI’m starting to realize that my opinions about how humans learn formulated way back when I was 18 years old haven’t changed. In 25 years, it hasn’t changed. I’ve learned a lot about theories that I’ve rejected through the years and have not so much “returned to” this model but it appears I’ve never left it.
I find that weird but I just have to accept it. This book contains some thoughtful reasons for believing that many evolutionary psychologists overestimate how much information about the human mind is encoded in genes. However, it is mixed in with some highly technical developmental neurobiology that only a few specialists are likely to find interesting.
For nonspecialists, David Buller’s book Adapting Minds says similar things about innateness in a style that is more suited for laymen.
Rethinking Innateness – Wikipedia
Grammar isn’t encoded in our genomes. The beginnings of the proof are here. This is an important book. Read it and it’s companion: A Handbook for Connectionist Simulations; which gives you hands on with the models discussed. See all 6 reviews. Pages with related products.
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