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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.
Question: (a) List five main characteristics of ‘Prototyping'. (b) Describe briefly why ‘Prototyping' is essential to Rapid Application Development. (c) Describe the 2 t
Q. Explain Simple Interfacing? The following is a sample of the coding, used for procedure interfacing: PUBLIC CUROFF _TEXT SEGMENT WORD PUBLIC 'CODE'
What exactly is being serialized when you perform serialization? Serialization is the process of changing an object into stream of bytes. We perform it at the time of transpor
E ngaged tone is generated in the: (A) Telephone instrument of calling subscriber (B) Telephone instrument of called subscriber (C) Exchange (D) Repeater
Q. Describe target processor arrangements? Having seen how to describe one or more target processor arrangements we need to initiate mechanisms for distributing data arrays ove
Effect of IS on Humans - Information System We have concentrated in this chapter on the ways that IS has evolved making it more useful and more user-friendly. This proliferat
How can we set the table spaces and extent sizes? You can state the extent sizes and the table space (physical storage area in the database) in which a transparent table is to
What are the types of consumer oriented applications of E-commerce? Four types of Consumer Oriented applications within E-Commerce are as given below: 1. B2C (business-to-c
Q. Determine the use of LOOP instruction? Program: This program prints the alphabets (A-Z) ; Register used: AX, CX, DX CODE SEGMENT ASSUME: CS: CODE. MAINP:
What is reduction? A reduction is a way of changing one problem into another in such a way that a solution to the second problem can be used to explain the first problem.
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