9 sols the last time checked! Anyway, just wondering is there any mathematical map (cellular automata type) for each task?
A competitor on Kaggle has written solution programs for the first 10 tasks in the ARC training set. Check it out! Now, what you should look for is an algorithm capable of generating these programs on its own.https://www.kaggle.com/nagiss/manual-coding-for-the-first-10-tasks …
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There's always a solution program: the tasks are solvable. Not sure what you mean by "mathematical map" (besides program)
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How could people who are developing programs with protected IP take part. Could they publish results but not show code?
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How would that work when there are programs to solve each task?
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These competitions just drive brilliant minds to push their boundaries and create a system with super human capabilities !
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Thinking that one could describe the solutions in terms of simple operations that could have some algebraic properties. Combining with a neural network (possibly meta learning) could yield most likely solutions
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Or, alternatively, other road to generalization is: given a set of task solvers (or sub tasks, or meta tasks, etc), build the solver selector. In my opinion there is where the mistery resides.
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