Conventional necessary to define all the possible

Conventional Computingis technique to execute what it is programmed to do.1.     It is necessary to define all the possible waysto solve a problem.2.

     Rules are coded hence are incomprehensible (usuallydifficult).3.     Explanation and reasoning is not provided.4.     Algorithms are used for searching.5.     Sequential processing takes place.Intelligent Computingis a technique which is capable of self-learning and emulate an intelligentoutcome.

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1.     Only knowledge (logic) needs to be defined.2.     Written in everyday language so they are easy tounderstand.3.     Explanation reasoning is given.

4.     Heuristic searching is used.5.

     Multitasking takes place.6.     Used to solve complex problemsExample: In case of Tic-tac-toe program can be solved viaboth conventional computing as well as intelligent computing but if solved thisproblem using–a)     Conventional computing: Its will be timeconsuming, space wastage and numeric processing will take place as it looks atthe squares one at a time. Valid reasoning will not be provided.Hence, it will be difficult to understand.b)    Intelligent computing: Knowledge is used tosolve the problem by exploiting the structures of the objects involved and thisapproach solves the problem similarly as human beings do. People act asparallel processors and look at several parts of the board at once.

Agents are functionalsystems which decides independently which action to take in a given situation.It has goals, sensors and actuators.A)    Learning Agent-       Has performance element that decides whichactions to take.

–       Has learning element which makes theperformance element more efficient.  –       Critic component which evaluates the efficiencyof an agent and provides feedback.-       Has a problem generator.B)    Utility AgentIt maps a state to real number, checks how efficientagent is in achieving the goal.Conclusion: Intelligent computing are better thanconventional computing as it involves perceiving, understanding the problemthen reasoning, learning and adapting the solutions these techniques will workfor large problems where usually direct methods won’t work.

This increases theefficiency of computation of programs.

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