Problem Solving in Intelligent Systems
Intelligent systems perform problem-solving for the sake of it. The first cognitive function is the recognition of a problem, devising a plan, and executing it in order to find a solution. Techniques used include:
- Search Algorithms: Explore techniques for example, depth-first search, breadth-first search, and A* algorithms, which are used to criss-cross the possible solutions, in order to find the optimal solution.
- Heuristics: Generally, these heuristics give methodology of the process some boundary which is key to such problems.
- Optimization Techniques: Methods functioning as genetic algorithms and simulated annealing to optimize the search through most of the available possibilities.
Intelligent Systems in AI
Intelligent systems in artificial intelligence (AI) represent a broad class of systems equipped with algorithms that can perform tasks typically requiring human intelligence. These systems span various domains from robotics to data analysis, playing a pivotal role in driving innovation across industries. Here, we delve into the essence of intelligent systems, their core components, applications, and the future trajectory of this transformative technology.