CONVENTIONAL COMPUTINGIt is a traditional approach that deals with designing analgorithm for solving complex real-world problems.

In this approach, data isfed to the machine and programmer states exactly how to perform the giventask. It follows a logical series of steps to teach theconclusion. Conventional computers are also called von Neumann computers.Environmental factors are not taken into consideration i.e., the problem willbe solved according to the predefined solution whatever may be the situation.In this case, only one problem can be solved at a giventime.

Conventional computing doesn’t observe or adapt based on the situationsand is incapable of making the decisions on its own. Solutions are not based onrational thinking.INTELLIGENT COMPUTINGIt is a modern approach that involves learning and understandingthe problem, and the solve the specified task accordingly.

Environmentalaspects are considered here.Here, the machine observes and understands the problem, useacquired knowledge to accomplish the specified task. It uses techniques ofsearch and pattern matching.In this case, programmers design artificial intelligencesoftware to give the machine only the problem and not the steps or instructionsto accomplish the task.

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Here a wide range of problems can be solved at a given timein given domain. Intelligent computing has the ability to stimulate the humanbehavior and apply cognitive thinking.EXAMPLES For tic-tac-toe game, in case of conventional computing,programmer provides the instructions, applies brute force approach to check allpossible conditions while in intelligent computing, opponent’s actions are alsoconsidered and then the decision is taken accordingly.A humanoid Sophia uses AI to sense the environment, makedecisions on its own using rational and cognitive thinking. With conventionalcomputing alone, creating such an invention would have been impossible.HOW TO SHOWCASE GIVEN SOLUTION IS INTELLIGENT OR NOT?Turing test, developed by Alan Turing, determines theintelligence of the machine, A machine is intelligent if it produces humanresponses under specific conditions. A solution is said to be intelligent if itdelivers accurate results in minimum amount of time.LEARNING AGENT & UTILITY AGENTLearning agent is an intelligent agent that observes itssurroundings through senors and takes action accordingly (actuators).

It learnsand uses the knowledge it acquired to achieve the goals. It consists oflearning and performance elements.Utility agent allows rational decisions where there areconflicting goals and we need to decide what is the best solution for thespecified problem.e.

g., while shopping utility agent can help in choosingamong alternative brands by trading off quality for price while learning agentwill analyze the shopping trends and use its knowledge to improve the business.ConclusionThe solution which is chosen depends on the situation,mainly smart solutions are preferred as the use reasoning, efficiency andenvironmental aspects to accomplish the task.