Reasoning, Problem Solving, and Decision Making

TL;DR

You're constantly using mental processes like reasoning, problem-solving, and decision-making to navigate the world. These skills involve different approaches, from logical deduction to creative thinking, to help you reach conclusions or choose actions. Understanding how these processes work can help you improve your cognitive effectiveness.

1. The Mental Model

Think of your brain as a super-computer that processes information to figure things out, solve puzzles, and make choices. Reasoning is like running a logical program, problem-solving is finding a path through a maze, and decision-making is picking the best door to open.

2. The Core Material

These three cognitive functions are deeply interconnected and essential for everyday life.

Reasoning

Reasoning is about drawing conclusions from information. There are two main types:

• Deductive Reasoning: This goes from general rules to specific conclusions. If the premises are true, the conclusion must be true.
  • Example: All humans are mortal (general rule). You are human (specific fact). Therefore, you are mortal (specific conclusion).
• Inductive Reasoning: This goes from specific observations to general conclusions. The conclusion is probable, but not guaranteed, even if the observations are true.
  • Example: Every swan you've seen is white (specific observations). Therefore, all swans are white (general conclusion - but this could be wrong!).

Problem Solving

Photo by Cik Bak on Pexels

Problem-solving is the process of overcoming obstacles to reach a desired goal. It often involves a series of steps:

1. Identify the problem: Clearly understand what needs to be solved.
2. Define the goal: Know what a successful solution looks like.
3. Explore possible solutions: Brainstorm different ways to tackle the problem.
4. Evaluate solutions: Consider the pros and cons of each option.
5. Implement a solution: Put your chosen solution into action.
6. Review and learn: See if it worked and what you can learn for next time.

Decision Making

Photo by Ann H on Pexels

Decision making is the process of selecting a course of action from several alternatives. It's often intertwined with problem-solving. Key aspects include:

• Identifying alternatives: What are your choices?
• Gathering information: What do you know about each choice?
• Weighing pros and cons: What are the potential outcomes (good and bad) of each choice?
• Making a choice: Selecting the best option based on your criteria.
• Evaluating the outcome: How did your decision turn out?

Here's how these concepts often flow into each other:

graph TD
    A["Observe Situation/Challenge"] --> B["Identify Problem/Goal"]
    B --> C{Reasoning: Deductive/Inductive?}
    C -- "Helps define" --> D["Generate Possible Solutions/Alternatives"]
    D --> E["Evaluate Options (Pros/Cons)"]
    E --> F["Make Decision (Select Best Option)"]
    F --> G["Implement Solution/Action"]
    G --> H["Review Outcome & Learn"]

3. Worked Example

You're planning a trip and need to decide between flying or driving.

Problem: How to get to your destination.
Goal: Arrive at your destination safely and efficiently.

Reasoning:
* You know deductively that driving is generally cheaper for short distances with multiple passengers than flying.
* You know inductively from past experience that flying saves time for long distances.

Alternatives (generated during problem-solving):
1. Fly: Costs more, much faster, less tiring.
2. Drive: Costs less, much slower, more tiring, more flexible with stops.

Decision-Making:
You gather information: The destination is 8 hours away driving, or 2 hours flying. Flying costs \$300, driving costs \$80 in gas (plus wear-and-tear, time). You also consider that you value your time more than the \