Solving Problems & Making Decisions Flashcards
Normative Decision-Making
Choices a rational person makes under ideal circumstances. Our actual decisions often deviate from this.
Descriptive Decision-Making
Choices a typical person makes under typical circumstances.
Problem Space
Contains the initial state of the problem, the goal state, and all the possible states in between, as well as the operations required to move from one state to another.
Forward Chaining
Evaluates all possible actions and selects the best option to achieve a goal.
Backward Chaining
Starts with the goal and works backward to the initial state.
Means-end Analysis
Identify the difference between the current state and the goal state and try to reduce it.
Analogies
Useful heuristic. Make a comparison between the current problem and a similar, familiar problem. Can be used to explain a process.
Context
Add context for logic and reasoning deduction. Critical for problem solving.
Categorical Reasoning-Deduction
Influenced by the context, interpretation of the premises and confirmation bias.
(ex: Some pilots are men. Some men drink beer. Therefore, some pilots drink beer…OR…Some pilots are men. Some men are older than 100 years. Therefore, some pilots are older than 100 years).
Utility
Normative decision making. How much a choice’s outcomes are worth to the decision maker. Good outcomes are [worth + utility], bad outcomes are [worth - utility].
Expected-Utility Theory
Optimal decision. Gambling preference determined by outcomes, probability of happening, risk aversion, and individual differences.
Framing
Descriptive decision making. Context changes decisions even when the context does not change the expected utility.
Bounded Rationality
Descriptive decision making. A decision maker bases his decisions on a simplified model of the world.
Heuristics
Mental shortcuts. Narrows down the potential actions and increase probability of finding correct solution. Can lead to biases.
Satisficing Heuristic
Searching through possible alternatives until you reach a threshold of acceptability. Pick the first acceptable solution, not necessarily the best. (ex: Grocery shopping picking out apples).
Elimination-by-aspects Heuristic
People only focus on features that are the most personally important. (ex: buying car, price important followed by size, followed by color, etc.), More stress person has, more likely to narrow down features.
Availability Heuristic
Involves the ease with which events can be retrieved from memory. Events that are easy to remember are judged as more likely than events that are harder to remember. Causes people to overestimate certain probabilities. (ex: school shooting)
Representativeness Heuristic
Based on the degree of to which an event is similar to its parent population, and to which it reflects salient features. More representative outcomes are judged more likely to occur.
Improving Decisions
- Training- improving performance in specific task environments
- Decision Aids- notes, computer based decision system, rules for doctors to diagnose sickness, help patients with cholesterol chart
- Improve Design of Task Environments