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Knowledge-based decision making model [1] Knowledge-Based Decision-Making (KBDM) in management is a decision-making process [2] that uses predetermined criteria to measure and ensure the optimal outcome for a specific topic. KBDM is used to make decisions by establishing a thought process and reasoning behind a decision. [3]
[citation needed] Bloom's taxonomy can be used as a teaching tool to help balance evaluative and assessment-based questions in assignments, texts, and class engagements to ensure that all orders of thinking are exercised in students' learning, including aspects of information searching. [23]
SCAMPER ("substitute, combine, adjust, modify, put to other uses, eliminate, reverse") is an acronym that provides a structured way of assisting students to think out of the box and enhance their knowledge. [1] It is thought to protect students' creativity as they mature. [2]
The classifier can also provide consistency checking on a knowledge base (which in the case of KL-ONE languages is also referred to as an Ontology). [11] Another area of knowledge representation research was the problem of common-sense reasoning. One of the first realizations learned from trying to make software that can function with human ...
Critical thinking is primarily concerned with judging the true value of statements and seeking errors whereas lateral thinking focuses more on the "movement value" of statements and ideas. A person uses lateral thinking to move from one known idea to new ideas. Edward de Bono defines four types of thinking tools:
The Design Thinking Playbook. Hoboken, NJ: Wiley, 2018. Liedtka, Jeanne. Designing for Growth: A Design Thinking Tool Kit For Managers. New York: Columbia University Press, 2011. ISBN 0-231-15838-6; Liedtka, Jeanne. Solving Problems with Design Thinking: Ten Stories of What Works. New York: Columbia University Press, 2013. ISBN 0-231-16356-8
A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. Knowledge-based systems were the focus of early artificial intelligence researchers in the 1980s. The term can refer to a broad range of systems.
This leads to a form of circularity, known as the problem of the criterion: criteria of knowledge are needed to identify individual cases of knowledge and cases of knowledge are needed to learn what the criteria of knowledge are. [12] [13] [14] Two approaches to this problem have been suggested: methodism and particularism. Methodists put their ...