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Means–ends analysis [1] (MEA) is a problem solving technique used commonly in artificial intelligence (AI) for limiting search in AI programs. It is also a technique used at least since the 1950s as a creativity tool, most frequently mentioned in engineering books on design methods.
In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]
The user defined objects and operations that could be done on the objects, and GPS generated heuristics by means–ends analysis in order to solve problems. It focused on the available operations, finding what inputs were acceptable and what outputs were generated.
Means-ends analysis choosing an action at each step to move closer to the goal Morphological analysis assessing the output and interactions of an entire system Observation / Question in the natural sciences an observation is an act or instance of noticing or perceiving and the acquisition of information from a primary source.
The China-based company sent Wall Street into panic mode over claims that its latest AI model, DeepSeek-R1, matches the performance of models produced by Silicon Valley’s biggest tech names ...
“I mean, it's certainly what was happening in the dotcom [bubble], for example, where almost anybody who wasn't a retail punter was looking at these things and saying, 'well, it can't last, but ...
The fast-food giant will end a test run of its AI drive-through technology partnership with IBM in more than 100 restaurants. The so-called Automated Order Taker will be shut off no later than ...
Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...