| Artificial Intelligence : Definitions |
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| Marvin Minsky:The science of making machines do things that would require intelligence if done by men |
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| Artificial Intelligence Plain and simple |
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| Artificial Intelligence is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion |
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| Artificial Intelligence |
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| Artificial Intelligence, or AI for short, is a combination of computer science, physiology, and philosophy. AI is a broad topic, consisting of different fields, from machine vision to expert systems. The element that the fields of AI have in common is the creation of machines that can "think". |
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| Steepest Descent or Gradient Method |
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| Now we turn to the minimization of a function [Graphics:Images/GradientSearchMod_gr_] of n variables, where [Graphics:Images/GradientSearchMod_] and the partial derivatives of [Graphics:Images/GradientSearchMod_gr_] are accessible. |
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| A Definition of Soft Computing |
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| Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect, the role model for soft computing is the human mind. The guiding principle of soft computing is: Exploit the tolerance for imprecision, uncertainty, partial truth, and approximation to achieve tractability, robustness and low solution cost. |
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| A Takagi-Sugeno Fuzzy Model of a Rudimentary |
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| Modern artilleries have the capability to hit targets with high level of accuracy. However, a problem arises
with the current firing procedure when neither the Field Observer nor the Fire Direction Center is
available to support the artillery crew with the necessary information. |
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| Downhill simplex |
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| The Downhill Simplex method is a multidimensional optimization method which uses geometric relationships to aid in finding function minimums |
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| Optimization |
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| Unconstrained Minimization,Directional derivatives ,Minimization of Unconstrained function
Steepest Descent etc.,
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| Neuro-Fuzzy Modeling |
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| Model-based control schemes require the existence of a suitable process model. Proper models are, furthermore, needed to test new controllers. It is mathematically proved that the least square error (LSE) method is the optimum
modeling method for linear systems [1,2]. |
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| Kinematics and Path Planning |
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| We propose a novel solution to the problem of inverse kinematics for redundant robotic manipulators for the
purposes of goal selection for path planning. We unify the calculation of the goal configuration with searching for a path
in order to avoid the uncertainties inherent to selecting goal configurations which may be unreachable because they currently
lie in components of the free configuration space disconnected from the initial configuration. |
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| Heuristic Search |
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| Direct techniques (blind search) are not always possible (they require too much time or memory).
Weak techniques can be effective if applied correctly on the right kinds of tasks. |
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| Downhill Simplex Search |
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| In multi-reference frame motion estimation (ME), the motion vector of one block can be predicted from many
reference frames to improve the coding quality. Recently, a number of algorithms have been proposed to reduce the
computational complexity. |
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| Artificial Intelligence |
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| The computer is interrogated by a human via a teletype, It passes if the human cannot tell if there is a computer or
human at the other end |
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