Greedy reductionism, identified by Daniel Dennett, in his 1995 book Darwin's Dangerous Idea, is a kind of erroneous reductionism. Whereas "good" reductionism means explaining a thing in terms of what it reduces to (for example, its parts and their interactions), greedy reductionism occurs when "in their eagerness for a bargain, in their zeal to explain too much too fast, scientists and philosophers ... underestimate the complexities, trying to skip whole layers or levels of theory in their rush to fasten everything securely and neatly to the foundation".[1] Using the terminology of "cranes" (legitimate, mechanistic explanations) and "skyhooks" (essentially, fake—e.g. supernaturalistic—explanations) built up earlier in the chapter, Dennett recapitulates his initial definition of the term in the chapter summary on p. 83: "Good reductionists suppose that all Design can be explained without skyhooks; greedy reductionists suppose it can all be explained without cranes."
^Dennett 1995; Chapter 3, Universal Acid (p. 82)
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Greedyreductionism, identified by Daniel Dennett, in his 1995 book Darwin's Dangerous Idea, is a kind of erroneous reductionism. Whereas "good" reductionism...
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title of the book as "Consciousness Explained Away", accusing him of greedyreductionism. Another line of criticism disputes the accuracy of Dennett's characterisations...
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secret knowledge gnosis. greedyreductionism This term was coined by Daniel Dennett to condemn those forms of reductionism that try to explain too much...
to understand it. Reductionism can refer to one of several philosophical positions related to this approach. One type of reductionism suggests that phenomena...
non-linear mathematics by his critics, and a linearizing form of greedyreductionism in which all events have to be immediately ascribed to specific causes...
professionnelle Demarcation problem Eliminative materialism Francis Bacon Greedyreductionism High modernism Materialism Non-overlapping magisteria Pseudoskepticism...
hidden layer. The training of deep encoders is typically performed using a greedy layer-wise pre-training (e.g., using a stack of restricted Boltzmann machines)...
geometrical objects is also called a stabbing set or piercing set. There is a greedy algorithm for polynomial time approximation of set covering that chooses...
nonlinearities via kernels methods or DEIM. Standard procedures like the POD-Greedy method are readily implemented as well as advanced a-posteriori error estimators...
root node might correspond to a sentence non-terminal. Like all greedy algorithms, greedy grammar inference algorithms make, in iterative manner, decisions...
ordering that leads to a greedy coloring with the optimal number of χ ( G ) {\displaystyle \chi (G)} colors. On the other hand, greedy colorings can be arbitrarily...
Richards, Martin B. (2000), "Median networks: speedy construction and greedyreduction, one simulation, and two case studies from human mtDNA", Molecular...
property is used to determine the usefulness of greedy algorithms for a problem. Typically, a greedy algorithm is used to solve a problem with optimal...
undirected graph is the maximum number of colors that can be used by a greedy coloring strategy that considers the vertices of the graph in sequence and...
proved by showing an approximation-preserving reduction from MAX 3-SAT-3 to GISMP2. The following greedy algorithm finds a solution that contains at least...
problems. Algorithms developed for multiway number partitioning include: Greedy number partitioning – loops over the numbers, and puts each number in the...
The maximum welfare can be approximated by the following polynomial-time greedy algorithm: Initialize X1 = X2 = ... = Xn = empty. For every item g (in an...
found by using a simple greedy algorithm, and finding a sublogarithmic approximation factor is NP-hard. More specifically, the greedy algorithm provides a...
is encountered in a procedure, so it is also called eager evaluation or greedy evaluation. Some authors refer to strict evaluation as "call by value" due...
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