Moral Decision Making Frameworks for Artificial Intelligence
... money—say, $100. She2 is then allowed to give any fraction of this money back to the experimenter, who will then triple this returned money and give it to player 2. Finally, player 2 may return any fraction of the money he has received to player 1. For example, player 1 might give $50 back, so that ...
... money—say, $100. She2 is then allowed to give any fraction of this money back to the experimenter, who will then triple this returned money and give it to player 2. Finally, player 2 may return any fraction of the money he has received to player 1. For example, player 1 might give $50 back, so that ...
Achieving Pareto Optimal Equilibria in Energy Efficient
... to the CH. We underline that this feedback mechanism only requires one bit per transmission. In the following, we show that by using the utility function defined above, the action profile which maximize the social welfare of the game G solves the problem stated in (3), regardless of the underlying n ...
... to the CH. We underline that this feedback mechanism only requires one bit per transmission. In the following, we show that by using the utility function defined above, the action profile which maximize the social welfare of the game G solves the problem stated in (3), regardless of the underlying n ...
RATING SYSTEMS
... 1) If A is a lot better than B, we expect that it will give an answer close to 1. Well, suppose that X is a lot bigger than Y, say X–Y = 360. Then the exponent (Y–X)/400 is –0.9, 10–0.9 is about 1/8, so EA is about 0.89. On the other hand, if we reverse the abilities of A and B, that is, set X–Y = – ...
... 1) If A is a lot better than B, we expect that it will give an answer close to 1. Well, suppose that X is a lot bigger than Y, say X–Y = 360. Then the exponent (Y–X)/400 is –0.9, 10–0.9 is about 1/8, so EA is about 0.89. On the other hand, if we reverse the abilities of A and B, that is, set X–Y = – ...
Problem Solving and Search in Artificial Intelligence - DBAI
... Usually several search algorithms are available for solving a particular problem No free lunch theorem “…for any algorithm, any elevated performance over one class of problems is offset by performance over another class” [1] “any two algorithms are equivalent when their performance is averaged acros ...
... Usually several search algorithms are available for solving a particular problem No free lunch theorem “…for any algorithm, any elevated performance over one class of problems is offset by performance over another class” [1] “any two algorithms are equivalent when their performance is averaged acros ...
a novel approach to construct decision tree using quick c4
... C4.5 by minimizing the problem of space complexity and time complexity. This new algorithm is an improvement of C4.5 algorithm, which comprehensive utilized technologies of several improved C4.5 algorithm. This algorithm uses quick sort, so the database we get after the first split is sorted, due to ...
... C4.5 by minimizing the problem of space complexity and time complexity. This new algorithm is an improvement of C4.5 algorithm, which comprehensive utilized technologies of several improved C4.5 algorithm. This algorithm uses quick sort, so the database we get after the first split is sorted, due to ...
