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Procedural & Declarative Knowledge
| Q. Explain briefly the difference between procedural & declarative
knowledge. (June 99) |
| Ans. Procedural knowledge is compiled knowledge related
to the performance of some task. For example, the steps used
to solve an algebraic equation are expressed as procedural knowledge.
Declarative knowledge, on the other hand, is passive knowledge
expressed as statements of facts about the world. For example,
personnel data in a database is a typical example of declarative
knowledge. Such data are explicit pieces of independent knowledge.
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Knowledge, Belief, Hypothesis, Data, and Information
| Q. Explain the difference between 'knowledge', belief, 'hypothesis',
'data', and 'information' (June 99, Dec. 00, June 02) |
Ans. Knowledge can be defined as the body of
facts and principles accumulated by humankind or the act, fact,
or state of knowing.
Belief: It is defined as essentially any meaningful and
coherent expression that can be represented. Thus, a belief
can be true or false.
Hypothesis: It is defined as justified belief that is
not known to be true. Thus, a hypothesis is a belief that is
backed up with some supporting evidence, but it may still be
false. In other words, it is a preliminary assumption or tentative
explanation that accounts for a set of facts, taken to be true
for the purpose of investigation and testing.
Data: Data in computer terminology mean raw facts and
figures. For example 'Rocky', 197701, 'A' are data. Data are
processed to form information.
Information: Data arranged in useful and meaningful form
is known as information. For example 'Rocky, whose roll number
is 197701, has got grade A' is an information as it is conveying
some meaning. |
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AI
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