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Expert systems gave us the terminology still in use today where AI systems are divided into a knowledge base, which includes facts and rules about a problem domain, and an inference engine, which applies the knowledge in the knowledge base to answer questions and solve problems in the domain. In these early systems the facts in the knowledge ...
Procedural knowledge is the "know how" attributed to technology defined by cognitive psychologists, which is simply "know how to do it" knowledge. Part of the complexity of it comes in trying to link it to terms such as process, problem solving, strategic thinking and the like, which in turn requires distinguishing different levels of procedure ...
An example of such a question is "What did Albert Einstein win the Nobel Prize for?" after an article about this subject is given to the system. Closed-book question answering is when a system has memorized some facts during training and can answer questions without explicitly being given a context. This is similar to humans taking closed-book ...
In the context of knowledge management, the closed-world assumption is used in at least two situations: (1) when the knowledge base is known to be complete (e.g., a corporate database containing records for every employee), and (2) when the knowledge base is known to be incomplete but a "best" definite answer must be derived from incomplete information.
SECI model of knowledge dimensions – Model of knowledge creation; Solution-focused brief therapy – Goal-directed approach to psychotherapy; Theory of multiple intelligences – Pseudoscientific theory of multiple types of human intelligence; Transtheoretical model, also known as Stages of change – Integrative theory of therapy
Display questions work best for eliciting short and low-level answers that correspond to the answer already expected by the teacher. Since referential questions serve to request for new information, answers can be subjective and varied based on the students' opinions, judgement and experiences.
A priori knowledge is independent from any experience. Examples include mathematics, [i] tautologies and deduction from pure reason. [ii] A posteriori knowledge depends on empirical evidence. Examples include most fields of science and aspects of personal knowledge.
One well-known example of a zero-knowledge proof is the "Where's Waldo" example. In this example, the prover wants to prove to the verifier that they know where Waldo is on a page in a Where's Waldo? book, without revealing his location to the verifier. [9] The prover starts by taking a large black board with a small hole in it, the size of Waldo.