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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 ...
Knowledge: Recognizing or recalling facts, terms, basic concepts, or answers without necessarily understanding their meaning. Comprehension: Demonstrating an understanding of facts and ideas by organizing and summarizing information. Application: Using acquired knowledge to solve problems in new or unfamiliar situations.
Key processes in the field of knowledge management are knowledge creation, knowledge storage, knowledge sharing, and knowledge application. Knowledge creation is the first step and involves the production of new information. Knowledge storage can happen through media like books, audio recordings, film, and digital databases.
A priori and a posteriori knowledge – these terms are used with respect to reasoning (epistemology) to distinguish necessary conclusions from first premises.. A priori knowledge or justification – knowledge that is independent of experience, as with mathematics, tautologies ("All bachelors are unmarried"), and deduction from pure reason (e.g., ontological proofs).
Procedural knowledge (i.e., knowledge-how) is different from descriptive knowledge (i.e., knowledge-that) in that it can be directly applied to a task. [2] [4] For instance, the procedural knowledge one uses to solve problems differs from the declarative knowledge one possesses about problem solving because this knowledge is formed by doing.
These two forms of knowledge have been the subject of extensive debate among linguists, language teachers, and researchers seeking to understand how best to facilitate language learning. The debate touches on how each type of knowledge is acquired, how they interact, and the degree to which explicit instruction can foster implicit knowledge.
Situated cognition is a theory that posits that knowing is inseparable from doing [1] by arguing that all knowledge is situated in activity bound to social, cultural and physical contexts. [2] Situativity theorists suggest a model of knowledge and learning that requires thinking on the fly rather than the storage and retrieval of conceptual ...
Beyond eliciting known information (on the asker's part) and recognizing the content of questions (on the askee's part), answering display questions also involves active consideration and interpretation of the way the questions are organised as each display question is designed with a specific answer in mind. [21]