Thinking & Intelligence: Cognition, IQ, Creativity & Problem-Solving

Core Concepts of Thinking

Thinking refers to the cognitive processes by which we acquire, store, retrieve, and manipulate information. It includes:

• Concept formation (categorizing objects/ideas),
• Problem-solving (finding solutions),
• Decision-making (choosing options),
• Judgment (evaluating information).

Types of Thinking

mindmap
  root((Thinking))
    Concepts["Concept Formation\n- Definitions: mental groupings of similar objects/ideas\n- Example: 'Vehicle' includes cars, bikes, buses"]
    Problem-Solving["Strategies\n- Trial-and-error (e.g., fixing a phone)\n- Algorithms (step-by-step, e.g., tax calculation)\n- Heuristics (shortcuts, e.g., 'rule of thumb')"]
    Decision-Making["Models\n- Rational (logical, e.g., loan approval)\n- Intuitive (gut feeling, e.g., hiring)\n- Bounded rationality (limited info, e.g., Daraz order decisions)"]
    Judgment["Biases\n- Confirmation bias (favoring info that confirms beliefs)\n- Halo effect (one trait influences overall impression)"]

Why it matters: Left hemisphere handles logic/language; right hemisphere excels in creativity/spatial tasks. Businesses use this to design roles (e.g., analysts vs. designers).

Intelligence: Theories and Measurement

Intelligence is the ability to learn, adapt, and solve problems. Key theories:

1. Spearman’s Two-Factor Theory

• General intelligence (g-factor): Underlying cognitive ability (e.g., reasoning).
• Specific abilities (s-factor): Skills like verbal or mathematical aptitude.

2. Gardner’s Multiple Intelligences

graph TD
  A["Gardner's 8 Intelligences"] --> B["Linguistic\n(Words, e.g., writers)"]
  A --> C["Logical-Mathematical\n(Numbers, e.g., accountants)"]
  A --> D["Spatial\n(Visualization, e.g., architects)"]
  A --> E["Musical\n(Rhythm, e.g., composers)"]
  A --> F["Bodily-Kinesthetic\n(Movement, e.g., athletes)"]
  A --> G["Interpersonal\n(Social skills, e.g., leaders)"]
  A --> H["Intrapersonal\n(Self-awareness, e.g., therapists)"]
  A --> I["Naturalist\n(Nature, e.g., botanists)"]

Why it matters: IQ tests (e.g., Stanford-Binet) measure g-factor but ignore creative or practical intelligences. Nepal’s NCEE uses IQ-like assessments for school admissions.

Creativity: The Engine of Innovation

Creativity is the ability to generate novel, useful ideas. Components:

• Divergent thinking: Producing multiple solutions (e.g., brainstorming).
• Convergent thinking: Narrowing to the best solution (e.g., selecting a business plan).

Example: Pathao’s ride-hailing algorithm combines:

• Divergent: Multiple route options for drivers.
• Convergent: Choosing the fastest route using real-time traffic data.

Why it matters: Creativity drives entrepreneurship (e.g., Daraz’s e-commerce model) and problem-solving in teams.

Problem-Solving: Strategies and Barriers

Strategies

Barriers to Problem-Solving

• Functional fixedness: Seeing objects only for their typical use (e.g., using a book only for reading, not as a doorstop).
• Mental sets: Relying on past solutions (e.g., always using Excel for data when Python is better).
• Confirmation bias: Ignoring evidence that contradicts beliefs (e.g., rejecting feedback in startups).

Why it matters: Nepal’s traffic congestion is worsened by drivers’ mental sets (e.g., ignoring alternate routes).

Intelligence Tests: Strengths and Limitations

Types of IQ Tests

Limitations

• Cultural bias: Favor Western norms (e.g., vocabulary questions).
• Ignores practical intelligence: Street-smart skills (e.g., haggling in Patan Durbar Square).
• Malleability: IQ can improve with education/training (e.g., Ncell’s employee training programs).

Why it matters: Nepal’s education system often relies on IQ-like tests, but creativity and emotional intelligence are equally critical for success.

In the Real World

1. eSewa’s Payment System

   • Idea Used: Heuristics and Decision-Making
   • How: Users rely on mental shortcuts (e.g., "trusted merchant" labels) to decide which vendors to pay. eSewa’s algorithm uses bounded rationality by limiting payment options to reduce cognitive load.

2. Daraz’s Order Fulfillment

   • Idea Used: Algorithmic Problem-Solving
   • How: Daraz uses logistics algorithms to optimize delivery routes (like a traveling salesman problem), balancing cost, time, and customer satisfaction. Workers apply convergent thinking to select the best route from millions of possibilities.

3. NTC’s Tariff Adjustments

   • Idea Used: Judgment and Cognitive Biases
   • How: NTC’s pricing decisions are influenced by confirmation bias (favoring data that supports pre-existing policies) and anchoring (relying too heavily on initial tariff values). Public feedback often exposes these biases, leading to revisions.

Worked Example: Kathmandu Traffic Routes

Scenario: A driver in Kathmandu must navigate from Thapathali to Gorkha Durbar Square during rush hour.

1. Problem: Multiple routes exist, but traffic varies.
2. Strategies Applied:
   • Heuristic: "Avoid Ring Road during 5–7 PM" (rule of thumb).
   • Algorithmic: Using Waze (real-time data) to pick the fastest path.
3. Barriers:
   • Functional fixedness: Assuming Ring Road is always faster.
   • Confirmation bias: Ignoring alternative routes because "everyone" uses Ring Road.
4. Optimal Solution: Combine divergent thinking (exploring all routes) with convergent thinking (selecting the best via Waze).

Exam Tip

1. Define Clearly: Always define terms like thinking, intelligence, and creativity with examples.

   • ❌ "Intelligence is smartness."
   • ✅ "Intelligence is the ability to learn from experience, adapt to new environments, and use knowledge to solve problems (Gardner, 1983)."

2. Compare Theories: Contrast Spearman’s g-factor vs. Gardner’s multiple intelligences in a table or flowchart.

3. Apply to Real Life: Use Nepali examples (e.g., Daraz, eSewa, traffic) to explain concepts. Examiners love localized applications.

4. Critique IQ Tests: Discuss limitations (cultural bias, ignores creativity) and alternatives (e.g., emotional intelligence tests).

5. Problem-Solving Steps: For exam questions, break problems into:

   • Identify the problem,
   • List possible solutions (divergent),
   • Evaluate and choose (convergent).

Key Takeaways

• Thinking involves concepts, problem-solving, decision-making, and judgment, each with unique strategies and biases.
• Intelligence is multidimensional (Gardner) but often over-simplified by IQ tests (Spearman).
• Creativity combines divergent and convergent thinking—critical for innovation in businesses like Pathao or Daraz.
• Problem-solving barriers (e.g., functional fixedness) explain why people make suboptimal choices (e.g., Kathmandu traffic).
• IQ tests are useful but flawed; real-world success depends on practical, emotional, and creative intelligence too.

Final Visual Summary:

graph LR
  A["Thinking"] --> B["Concepts\nProblem-Solving\nDecision-Making\nJudgment"]
  B --> C["Biases & Barriers"]
  A --> D["Intelligence"]
  D --> E["Spearman\nGardner\nIQ Tests"]
  D --> F["Creativity\nDivergent/Convergent"]
  E & F --> G["Real-World\nApplications\n(eSewa, Daraz, NTC)"]