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
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)
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
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? 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
norvig russell - What does the statement with the max do in the . . . (If the g+h cost is larger, then we know the state wasn't previously expanded and it wasn't previously the state on the fringe with the minimum edge cost ) The linked paper gives several examples where similar ideas are used during search
Connect Open WebUI with Langflow using Open WebUI Function Pipe I am trying to connect Langflow to Open WebUI so that I can use Langflow workflows inside Open WebUI as a model This makes handling all the AI easy because its all based on Open WebUI Below is th