Anellis, Irving H. Review of Bart Kosko, Fuzzy Thinking: The New Science of Fuzzy Logic and Daniel McNeill and Paul Freiberger, Fuzzy Logic. Mod. Log. Fuzzy Thinking has ratings and 34 reviews. Ahmad said: Fuzzy Thinking: The New Science of Fuzzy Logic, Bart Koskoتاریخ نخستین خوانش: نهم جولای سال 1. Fuzzy thinking is the wave of the future, and the leading exponent of fuzzy logic, philosopher-scientist Dr. Bart Kosko, explains it better than anyone else can.

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Much ado about nothing. At the time of birth? Sep 07, Peter rated it liked it. Want to Read Currently Reading Read. Goodreads helps you keep track of books you want to read. Not everything is black or white–true or false.

Fuzzy Thinking: The New Science of Fuzzy Logic by Bart Kosko

While not a fuzzy activist, I recognized while reading that long ago I adopted mostly fuzzy thinking, meaning all things are relative. Retrieved from ” https: What is the fuzzy principle?

Isn’t that a lot like For example, when does life begin? See 1 question about Thinjing Thinking…. He is a contributing editor of the libertarian periodical Libertywhere he has published essays on “Palestinian vouchers”. Bart Kosko is undoubtedly a very clever man.

In neural networks, Kosko introduced the unsupervised technique of differential Hebbian learning[11] sometimes called the “differential synapse,” and most famously the BAM or bidirectional associative memory [12] family of feedback neural architectures, with corresponding global stability theorems. A washing machine that recognizes thihking ‘clean’ is ‘clean,’ and washes until it gets there.

Books by Bart Kosko.

Fuzzy Thinking: The New Science of Fuzzy Logic

Kosko thinks it should and thinks he also knows how. Bah – now I feel dirty having got annoyed by this book!


Aug 12, Rohit Shinde rated it it was ok Shelves: From fuzz the book. The concepts are presented clearly and precisely. Invented in America, fuzzy logic has broad implications for the way we think.

But modern western logic does not appreciate the gray. Refresh and try again. It wasn’t worth the wait but I’m still glad I read it.

Bart Kosko – Wikipedia

I found myself skimming the later chapters just to read the quotes Kosko included. Want to Read saving…. Return to Book Page. He is notable as a researcher and popularizer of fuzzy logicneural networksand noise, and author of several trade books and textbooks on these and related subjects of machine intelligence. Fuzzy logic isused in palmtop computers that recognize and translate handwritten characters.

Bart Kosko

I won’t say that badt book was boring. Fuzzy Thinking offers understandable insights into why fuzzy theory is valuable and how it can contribute to better appliances and better science. Jan 21, Mohammad rated it it was amazing Shelves: It’s very interesting book. Libro meraviglio tanto quanto l’argomento, ben scritto, completo e interessantissimo. Fuzzy Logic, before the term got irretrievably co-opted to mean ‘putting an asterisk in a search string,’ or ‘assigning probability to an event,’ mea I haven’t read others’ opinions of this book; I have a suspicion it will have been ‘debunked’ by many reviews.

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Open Preview Thinoing a Problem? Besides, broadening math for its own sake is always valuable. To ask other readers questions about Fuzzy Thinkingplease sign up.

Quite eye opening when I first read it. Very good intro to fuzzy logic. I tried for years to get into this book.

It’s really a shame this train of thought has been dismissed, because bar have been real-world successes in fuzy it a computer application that can fly a helicopter that has lost a rotor, using approximations of expert human fliers as ‘rules’, even though no human could ever hope to fly a helicopter that has lost a rotor. Apr 21, Rob Melich rated it really liked it. For people who are interested to learn how fuzzy set theory is used in the social sciences, I would give Kosko’s book a skip and head straight to Charles Ragin’s Fuzzy-Set Social Science – an tuzzy enjoyable and illuminating read.


Fuzzy guzzy mimics the working of the human brain and is used in machines so they will think more like human beings. This book is not yet featured on Listopia. In noiseKosko introduced the concept of adaptive stochastic resonance[13] using neural-like learning algorithms to find the optimal level of noise to add to koeko nonlinear systems to improve their performance.

If you like books and love to build cool products, we may be looking for you. And if numbers are fuzzy, everything is. In fuzzy logic, he introduced fuzzy cognitive maps[3] [4] fuzzy subsethood, [5] additive fuzzy systems, [6] fuzzy approximation theorems, [7] optimal fuzzy rules, [8] fuzzy associative memories, various neural-based adaptive fuzzy systems, [6] ratio measures of fuzziness, [5] the shape of fuzzy sets, [9] the conditional variance of fuzzy systems, [10] and the geometric view of finite fuzzy sets as points in hypercubes and its relationship to the ongoing debate of fuzziness versus probability.