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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
How is iterative deepening A* better than A*? The iterative deepening A* search is an algorithm that can find the shortest path between a designated start node and any member of a set of goals The A* algorithm evaluates nodes by combining the
Why is A* optimal if the heuristic function is admissible? The tree search does not remember which states it has already visited, only the "fringe" of states it hasn't visited yet A graph search is a general search strategy for searching graph-structured problems, where it's possible to double back to an earlier state, like in chess (e g both players can just move their kings back and forth)
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
What is the space complexity of breadth-first search? When using the breadth-first search algorithm, is the space complexity $O (b^d)$, where $b$ is the branching factor and $d$ the length of the optimal path (assuming
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
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
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?