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What is the fringe in the context of search algorithms? In English, the fringe is (also) defined as the outer, marginal, or extreme part of an area, group, or sphere of activity In the context of AI search algorithms, the state (or search) space is usually represented as a graph, where nodes are states and the edges are the connections (or actions) between the corresponding states
What is the difference between local search and global search . . . The difference between a local search algorithm (like beam search) and a complete search algorithm (like A*) is, for the most part, small Local search algorithms will not always find the correct or optimal solution, if one exists For example, with beam search (excluding an infinite beam width), it sacrifices completeness for greater efficiency by ordering partial solutions by some heuristic
Why is A* optimal if the heuristic function is admissible? A heuristic is admissible if it never overestimates the true cost to reach the goal node from n n If a heuristic is consistent, then the heuristic value of n n is never greater than the cost of its successor, n′ n, plus the successor's heuristic value Why is A*, using tree or graph searches, optimal, if it uses an admissible heuristic?
machine learning - What is a fully convolution network? - Artificial . . . Fully convolution networks A fully convolution network (FCN) is a neural network that only performs convolution (and subsampling or upsampling) operations Equivalently, an FCN is a CNN without fully connected layers Convolution neural networks The typical convolution neural network (CNN) is not fully convolutional because it often contains fully connected layers too (which do not perform the
How does the uniform-cost search algorithm work? What is the uniform-cost search (UCS) algorithm? How does it work? I would appreciate seeing a graphical execution of the algorithm How does the frontier evolve in the case of UCS?
What is the space complexity of breadth-first search? The space complexity of the breadth-first search algorithm is O(bd O (b d) in the worst case, and it corresponds to the largest possible number of nodes that may be stored in the frontier at once, where the frontier is the set of nodes (or states) that you are currently considering for expansion You can take a look at section 3 5 (page 74) of the book Artificial Intelligence: A Modern
philosophy - Can the first emergence of consciousness in evolution be . . . Current limitations in our knowledge mean that the question is not directly answerable: There is no scientific consensus on what consciousness is Therefore any device designed to "be conscious" is necessarily going to be built on the premise of unsupported, maybe fringe, theory There is no robust measure of consciousness If any AI system was built in order to exhibit conscious behaviour
Is there a rigorous proof that AGI is possible, at least, in theory? So, despite the sensationalist tendencies of rogue journalists "parroting" wildly spectacular concepts from the fringe camps of the transhumanists (aka science fiction) - a quick perusal of the more rigorous communities of the grounded and thoughtful philosophers camp strongly and convincingly argues otherwise