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Statistical AI, arising from machine learning, tends to be more concerned with "inductive" thought: given a set of patterns, make the trend. Classical AI, on the other hand, is more concerned with "deductive" thought: given a set of constraints, assume a conclusion
A system can't be truly intelligent without displaying properties of both inductive and deductive thought. This lends many to believe that in the end, there will be some part of synthesis of statistical and classical AI.
write a program to find the area under the curve y=f(x) between x=a and y=b integrate y=f(x) between the limits of a and b. the area under a curve between two points can be found b
Q. Illustrate third Generation Computers? The third generation has fundamental hardware technology: Integrated Circuits (ICs). To understand what are Integrated circuits let's
Explain the basic performance equation Ans: The basic performance equation is following T = N * S/ R T => It is processor time required to execute a program N => act
Method : The master from which the copies will be taken is first prepared from a special non-absorbent glazed sheet of paper and special carbon paper which acts as the reproducing
What is an expression tree? How an expression is evaluated using an expression tree? Algebraic expressions is as given here a/b+(c-d)e That has an inherent tree-like structure
As an advocate of CISC architecture to RISC architecture, what are the merits and demerits of CISC to RISC architecture
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Evolutionary approaches boil down - artificial intelligence: In fact as we will see whether evolutionary approaches boil down to like (i) just to identify how to represent pos
The heart of a computer is often one integrated circuit; one typical circuit is a 68Hc11 Microprocessor. Let us consider a typical 68Hc11 hardware design. The mic
What is visibility give UML notation? Visibility refers to the ability of a process to reference a feature from another class and has possible valued of public, private, protec
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