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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.
Engineering and Scientific Software Engineering and Scientific software has been characterized with "number crunching" algorithms. Application starts from astronomy t
The hybrid models are mostly tailormade models suiting to exact applications. Actually these fall in the category of mixed models. Such type of application-oriented models keep cro
Propositional truth tables: There {X\t} is a substitution that replaces all occurances of variable X with a term representing an object t as: ∀X. A is true if and only
Design a 32:1 multiplexer using two 16:1 multiplexers and a 2:1 multiplexer Ans. Design a 32 X 1 MUX by using two 16 X 1 MUX and one 2 X 1. Now here total 32 input lines
What is the most common biometrics? The most common biometrics is the given below: Face geometry (Photo): In this the computer takes the picture of your face and matches t
Find the hex sum of (93) 16 + (DE) 16 ? Ans. Hex Sum of (93) 16 + (DE) 16 Convert Hexadecimal numbers 93 and DE to there binary equivalent demonstrated below:- Hence (9
This assignment relates to all of the course objectives but more specifically to your practical understanding and evaluation of the key issues in relation to the development of the
Explain the Race Condition The situation where various processes access - and manipulate shared data concurrently. The final value of the shared data relies upon which process
Intelligent Retrieval from Database: Database system are large bodies of facts about some subjects, which are used to answer users queries about that subject. The design of d
Weight Training Calculations: However we have more weights in our network than in perceptrons but we firstly need to introduce the notation as: w ij just to specify the weigh
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