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Toy problems were invented with the aim to program an AI which can solve it. The blocks world domain is an example for a toy problem. Its major advantage over more realistic AI applications is, that many algorithms and software programs are available which can handle the situation. [2] This allows to compare different theories against each other.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Calling a problem AI-complete reflects the belief that it cannot be solved by a simple specific algorithm. In the past, problems supposed to be AI-complete included computer vision, natural language understanding, and dealing with unexpected circumstances while solving any real-world problem. [2] AI-complete were notably considered useful for ...
The company says that it has created a new AI system that can solve geometry problems at the level of the very top high-school students. Geometry is one of the oldest branches of mathematics, but ...
Scientists at Google DeepMind, Alphabet's advanced AI research division, have created artificial intelligence software able to solve difficult geometry proofs used to test high school students in ...
Such planners are called "domain independent" to emphasize the fact that they can solve planning problems from a wide range of domains. Typical examples of domains are block-stacking, logistics, workflow management, and robot task planning. Hence a single domain-independent planner can be used to solve planning problems in all these various ...
An example Jumble-style word puzzle, where solving four anagrams allows the solver to then solve a fifth, using the circled letters of the previous answers Game designer Cliff Johnson defines a meta-puzzle as "a collection of puzzles that, when solved, each give a piece of a master puzzle."
In ASP, search problems are reduced to computing stable models, and answer set solvers—programs for generating stable models—are used to perform search. The computational process employed in the design of many answer set solvers is an enhancement of the DPLL algorithm and, in principle, it always terminates (unlike Prolog query evaluation ...