Now-a-days, Artificial Intelligence (AI) techniques are used widely to automate systems that can use the resource and time efficiently. Some of the well-known problems experienced in everyday life are games and puzzles. Using AI techniques, we can solve these problems efficiently. Some of the most common problems resolved by AI are:
On the basis of the problem and their working domain, different types of problem-solving agents are defined and used at an atomic level with a problem-solving algorithm. The problem-solving agent performs precisely by defining problems and several solutions. So we can say that problem solving is a part of artificial intelligence that encompasses a number of techniques such as a tree, B-tree, heuristic algorithms to solve a problem. We can also say that a problem-solving agent is a result-driven agent and always focuses on satisfying the goals.
Steps problem-solving in AI:
The problem of AI is directly associated with the nature of humans and their activities. So, we need a number of finite steps to solve a problem which makes human easy works.
These are the following steps which require to solve a problem:
Goal Formulation: This one is the first and simple step in problem-solving. It organizes finite steps to formulate a target/goal which require some action to achieve the goal. Today the formulation of the goal is based on AI agents.
Problem formulation: It is one of the core steps of problem-solving which decides what action should be taken to achieve the formulated goal. In AI this core part is dependent upon software agent which consisted of the following components to formulate the associated problem.
Components to formulate the associated problem:
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