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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.
In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine.
Knowledge retrieval seeks to return information in a structured form, consistent with human cognitive processes as opposed to simple lists of data items. It draws on a range of fields including epistemology (theory of knowledge), cognitive psychology, cognitive neuroscience, logic and inference, machine learning and knowledge discovery, linguistics, and information technology.
The knowledge is stored as statements in mathematical logic. The project lasted from 2004 to 2008. [18] [19] Lycos used Cyc for search term disambiguation, but stopped in 2001. [20] CycSecure was produced in 2002, [21] a network vulnerability assessment tool based on Cyc, with trials at the US STRATCOM Computer Emergency Response Team. [22]
Knowledge representation goes hand in hand with automated reasoning because one of the main purposes of explicitly representing knowledge is to be able to reason about that knowledge, to make inferences, assert new knowledge, etc. Virtually all knowledge representation languages have a reasoning or inference engine as part of the system. [17]
Open Mind Common Sense (OMCS) is an artificial intelligence project based at the Massachusetts Institute of Technology (MIT) Media Lab whose goal is to build and utilize a large commonsense knowledge base from the contributions of many thousands of people across the Web. It has been active from 1999 to 2016.
According to Vivian Thayer, class discussions help students to generate ideas and new questions. (Goldenberg, p. 317). Dr. Neil Postman has said, "All our knowledge results from questions, which is another way of saying that question-asking is our most important intellectual tool" [32] (Response to Intervention). There are several types of ...
Commonsense knowledge can underpin a commonsense reasoning process, to attempt inferences such as "You might bake a cake because you want people to eat the cake." A natural language processing process can be attached to the commonsense knowledge base to allow the knowledge base to attempt to answer questions about the world. [2]