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Types of Problems

Simple problem

Complicated problem

Complex problem

The solution is relatively easy to determine.

There is a set of steps or recipe to achieve the solution.

The steps do not have to be followed in a precise order to achieve the solution.

There is a well-defined outcome or set of criteria that determines the solution.

There is a strict set of rules or steps that need to be followed to achieve the solution.

Following the same steps, the same solution will be achieved every time.

The outcome is unknown.

There are no rules or regulations that can be followed to get to the solution.

There is no pattern or routine that will deliver the solution, each solution is unique.

There is little to no expertise required.

Technical knowledge is required.

The mind-set is fundamentally different - expectations and tolerance for ambiguity.

It is not difficult, only requires an open mind.

The problem is deterministic - a set of inputs will deliver the same output.

The problem space is static.

The problem is deterministic and the process can be codified.

The components of the problem can be separated and dealt with in a systematic way.

There is order as well as a cause-and-effect relationship that allows us to reproduce the results.

The problem is static.

The problem is non-deterministic. There is no degree of order, control or predictability.

There is an explicit interconnectedness of things that lead to adaptive behaviour and surprising emergence.

The problem space is dynamic - perpetual novelty.

Behaviour is predictable.

Behaviour is predictable.

Unpredictable behaviour and emergent.

One-to-one relationships.

One-to-many relationships.

Many-to-many relationships.