31–40 of 86 posts
Is it just me? It's not a good question, it shows lack of core coding experience. For example a video game consists of millions of possibilities/results in movement based on environment - it's not approached as a collection of thousands of if/then/else statements. In fact the movement of cows seems very much like video game coding, it needs a "cow engine".
My favorite part is the third comment in on the question: "How can one manage thousands of IF…THEN…ELSE rules? By developing a drinking problem"
Such a great question. Want to predict cow movement while taking into consideration sudden events, food and sun, using thousands of if then rules? Sounds like the perfect problem for one of the following tree learners that not only manage themselves but build the model for you, in order of suitability to the problem* : Genetic Programming ADTree Random Forest Decision Tree Most of the work would be in figuring out th…
All machine learning techniques build models for you. ADTrees, Random Forests, and Decision trees are all classifiers, so they serve this guy's needs. Genetic Programming is not a machine learning technique: it is an optimization method for a very specific task and is quite unsuited for his purposes.
Wikipedia says Genetic Programming is a specialization of genetic algorithms where the objects are programs. I think this is the only thing I have ever seen where the specialization turns out to be more general than the parent.
I'd also like to point out that I although all ML learns models, all those I gave can learn stuff as what amounts to a bunch of IF-THEN statements. Well GP need not be so limited. And Random Forests lose the trees in the forest (harder to interpret) but yeah, that's why I formed that particular list.
http://en.wikipedia.org/wiki/Decision_tree
It's basically thousands of if-this-then-that statements, but dressed up into something you can reason about and most importantly train and build automagically.
While I'm not sure thousands of if/then/else rules are actually the best knowledge representation for his domain (it sounds like he really wants to learn some model from data, in which case throwing some off-the-shelf machine learning may be a better fit), the area of "expert systems" may be relevant if they really are rules extracted directly from some source that need to be managed, such as a human domain expert. E…
Is it just me? It's not a good question, it shows lack of core coding experience. For example a video game consists of millions of possibilities/results in movement based on environment - it's not approached as a collection of thousands of if/then/else statements. In fact the movement of cows seems very much like video game coding, it needs a "cow engine".
Mildly unrelated, but I wanted to point out the awesomeness of the K-map[1] for handling simple minimization problems like these. Unfortunately, once your dimensions get large it becomes difficult for humans to visualize the optimizations, which is where Espresso[2][3] comes in handy. [1] http://en.wikipedia.org/wiki/Karnaugh_map [2] http://embedded.eecs.berkeley.edu/pubs/downloads/espresso/in... [3] ftp://ftp.cs.man…
Is it just me? It's not a good question, it shows lack of core coding experience. For example a video game consists of millions of possibilities/results in movement based on environment - it's not approached as a collection of thousands of if/then/else statements. In fact the movement of cows seems very much like video game coding, it needs a "cow engine".
Is it just me? It's not a good question, it shows lack of core coding experience. For example a video game consists of millions of possibilities/results in movement based on environment - it's not approached as a collection of thousands of if/then/else statements. In fact the movement of cows seems very much like video game coding, it needs a "cow engine".
Totally agreed -- that's the first thing I thought while reading the question. OOP made this kind of problem easy to tackle long ago.