What is 15 ai alternatives?

Okay, here are 15 AI alternatives described in Markdown format, with links to hypothetical "WikiWhat" pages about key concepts:

1. Expert Systems: Rule-based systems designed to emulate the decision-making ability of a human expert. They use a knowledge base and inference engine. Learn about Expert%20Systems.

2. Classical Machine Learning: This includes algorithms like linear regression, logistic regression, support vector machines (SVMs), and decision trees. Often require feature engineering. Explore Classical%20Machine%20Learning.

3. Bayesian Networks: Probabilistic graphical models that represent dependencies between variables. Used for reasoning under uncertainty. Understand Bayesian%20Networks.

4. Genetic Algorithms: Optimization algorithms inspired by natural selection. They are used to solve complex problems by evolving a population of candidate solutions. Delve into Genetic%20Algorithms.

5. Fuzzy Logic Systems: A form of many-valued logic that deals with reasoning that is approximate rather than fixed and exact. Ideal for control systems. Discover Fuzzy%20Logic%20Systems.

6. Rule-Based Systems: Systems that use a set of "if-then" rules to make decisions. Simpler than machine learning models. More on Rule-Based%20Systems.

7. Case-Based Reasoning (CBR): Solves new problems by retrieving similar past cases and adapting their solutions. Focuses on precedent. Study Case-Based%20Reasoning.

8. Constraint Satisfaction Problems (CSPs): Problems where solutions must satisfy a set of constraints. Used in scheduling and resource allocation. Examine Constraint%20Satisfaction%20Problems.

9. Planning Algorithms: Algorithms used to develop sequences of actions to achieve a specific goal. Important in robotics and game AI. Read about Planning%20Algorithms.

10. Evolutionary Computation: A broader field encompassing genetic algorithms, genetic programming, and other evolution-inspired optimization techniques. Learn more Evolutionary%20Computation.

11. Simulated Annealing: A probabilistic technique for approximating the global optimum of a given function. Often used when the search space is discrete. See details on Simulated%20Annealing.

12. Ant Colony Optimization (ACO): A probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. Inspired by the foraging behaviour of ants. More on Ant%20Colony%20Optimization.

13. Knowledge Representation and Reasoning: Focuses on representing knowledge in a way that allows computers to reason about it. Utilizes formal logic. Grasp Knowledge%20Representation%20and%20Reasoning.

14. Symbolic AI: An approach to AI that focuses on representing knowledge using symbols and logical rules. Predecessor to modern AI. Understand Symbolic%20AI.

15. Heuristic Search: Search algorithms that use heuristics (rules of thumb) to guide the search process and find a good solution quickly, even if it's not guaranteed to be the optimal one. Review Heuristic%20Search.