Problem and Search SpacesChess has approximately 10120game paths. These positions comprise the problem search space. Typically, AI problems will have a very large space, too large to search or enumerate exhaustively. Our approach is to search the space for a path to some goal. The problem may...
Relevance: Data must be directly related to the problem the AI system is trying to solve. Consistency: It should also be uniform in format and structure, particularly when sourced from multiple places. These characteristics will show that AI systems analyze data accurately, make reliable decisions,...
Thus, we have a simple "formulate, search, execute" design for the agent, as shown in Figure 3.1. After formulating a goal and a problem to solve, the agent calls a search procedure to solve it. It then uses the solution to guide its actions, doing whatever the solution recommends as ...
(3) AI is a very difficult scientific problem, so there are great advantages in finding parts of the problem that can be separated out and separately attacked. 展开 关键词: CiteSeerX citations Epistemological problems of artificial intelligence J McCarthy ...
Although existing meta-heuristic algorithms have demonstrated efficacy in many scenarios, they still struggle with certain challenges such as premature convergence, insufficient exploration, and lack of robustness in high-dimensional, nonconvex search spaces. These limitations underscore the need for novel ...
Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in Sign up Reseting focus {{ message }} vidit1999 / daily_coding_problem Public Notifications You must be signed in to change notification settings Fork 3 Star...
Heuristic search techniques have been developed for different problem representations, such as state space representation, problem reduction representation... PCPP Dasgupta,T Forester 被引量: 58发表: 1999年 Admissible large perturbations in structural redesign In the latter case, a minimum-error inadmissi...
Aihong WangHindawiJournal of Applied MathematicsDuan, PC, Wang, AH: General iterative methods for equilibrium problems and infinitely many strict pseudo-contractions in Hilbert spaces. J. Appl. Math. 2012, Article ID 602513 (2012)P. Duan and A. Wang, "General iterative methods for equilib- ...
Provide feedback We read every piece of feedback, and take your input very seriously. Include my email address so I can be contacted Cancel Submit feedback Saved searches Use saved searches to filter your results more quickly Cancel Create saved search Sign in ...
This study presents the K-means clustering-based grey wolf optimizer, a new algorithm intended to improve the optimization capabilities of the conventional grey wolf optimizer in order to address the problem of data clustering. The process that groups similar items within a dataset into non-overlappi...