The Combinatorial Model of creativity suggests that creative ideas are generated by combining existing ideas in novel and unexpected ways.

The Divergent Thinking Model proposes that creativity involves generating a wide range of ideas and solutions to a problem, rather than focusing on a single solution.

The Associative Model of creativity posits that creative ideas arise from the linking of seemingly unrelated concepts or ideas.

The Convergent Thinking Model emphasizes the evaluation and selection of the most promising ideas from a set of generated ideas.

In the Combinatorial Model, the number of possible combinations of $n$ ideas taken $k$ at a time is given by the formula $n^k$.

In the Divergent Thinking Model, the Fluency Score measures the number of ideas generated in a given time period.

In the Associative Model, the Similarity Measure quantifies the degree of similarity between two ideas.

In the Convergent Thinking Model, the selected idea is evaluated based on its originality, feasibility, and usefulness.

The Insight Model of creativity suggests that creative ideas often arise suddenly, in the form of "Aha!" moments.

In the Insight Model, the sudden emergence of a creative idea is referred to as "Illumination".

The Problem Transformation Model proposes that creativity involves transforming ill-defined problems into well-defined problems that can be more easily solved.

In the Problem Transformation Model, the process of transforming a problem into a well-defined problem is called "Reformulation".

The Hypothesis Generation Model suggests that creativity involves generating and evaluating multiple hypotheses to explain a phenomenon.

In the Hypothesis Generation Model, the Fluency Score measures the number of hypotheses generated in a given time period.

The Pattern Recognition Model proposes that creativity involves identifying patterns and structures in data that were previously overlooked.