Backward Chaining
An inference method used in AI and expert systems where reasoning starts from the goal and works backward to determine the necessary conditions.
An inference method used in AI and expert systems where reasoning starts from the goal and works backward to determine the necessary conditions.
A philosophy that emphasizes reason and logic as the primary sources of knowledge and truth.
An inference method used in AI and expert systems where reasoning starts from known facts and applies rules to derive new facts.
A problem-solving process that includes logical reasoning, pattern recognition, abstraction, and algorithmic thinking.
A logical fallacy in which it is assumed that qualities of one thing are inherently qualities of another, due to an irrelevant association.
A logical fallacy where anecdotal evidence is used to make a broad generalization.
The persistence of misinformation in memory and influence on reasoning, even after it has been corrected.
The study of mental processes such as perception, memory, reasoning, and problem-solving.
The tendency to judge the strength of arguments based on the believability of their conclusions rather than the logical strength of the arguments.