Mark7375-lecture5

Structure and Elements of Decision Making Session 2 Decision Making and Risk Partha Krishnamurthy

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Representing Decisions 

Are there ways of structuring and representing decisions?

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Reports that say that something hasn't Why should we structure decisions? happened are always interesting to me,

because as we know, there are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there are some things we do not know. But there are also unknown unknowns … it is the latter category that tend to be the difficult ones.

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How can we structure decisions?

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Decision trees.  Help structure the decision  Know what is known and unknown  Helps understand disagreements.  Helps grasp various facets of a decision.

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Structuring Decisions Outcome A1 Option A

Payoff A1

p(A1) Outcome A2

Payoff A2

p(A2)

Outcome B1 Option B

p(B1) Outcome B2

Payoff B1

Payoff B2

p(B2)

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Understanding Decision Options

Outcome A1 Option A

Payoff Portfolio A1

p(A1) Outcome A2

Payoff Portfolio A2

p(A2)

Outcome B1 Option B

p(B1) Outcome B2

Payoff Portfolio B1

Payoff Portfolio B2

p(B2)

Option Portfolio Known Options Unknown Options Deferred Decision

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Understanding Outcomes of Options Outcome Portfolio Known Outcomes Unknown Outcomes Outcome probabilities Distribution Outcome A1 Option A

Payoff Portfolio A1

p(A1) Outcome A2

Payoff Portfolio A2

p(A2)

Outcome B1 Option B

p(B1) Outcome B2

Payoff Portfolio B1

Payoff Portfolio B2

p(B2)

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Understanding Payoffs from Outcomes Payoff Portfolio

Outcome A1 Option A

Simple Payoffs $ metric Payoff Portfolio A1

p(A1) Outcome A2

Payoff Portfolio A2

p(A2)

Outcome B1 Option B

p(B1) Outcome B2

Payoff Portfolio B1

Complex Payoffs Revenues Costs Learning Turnover Morale Comp. Response Future Options Tech Market Facilities

Payoff Portfolio B2

p(B2)

Integrating payoffs to determine overall utility

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Understanding Decision Forks

Outcome A1 Option A

Payoff Portfolio A1

p(A1) Outcome A2

Payoff Portfolio A2

p(A2)

Choose or Reject

Outcome B1 Option B

p(B1) Outcome B2

Decision Task Choosing or Rejecting Should have no implication for the decision under rationality assumptions

Payoff Portfolio B1

Payoff Portfolio B2

p(B2)

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Decision Making Structure Recap Outcome Portfolio Known Outcomes Unknown Outcomes Outcome probabilities Distribution Outcome A1 Option A

Payoff Portfolio Simple Payoffs $ metric Payoff Portfolio A1

p(A1) Outcome A2

Payoff Portfolio A2

p(A2)

Choose or Reject

Outcome B1 Option B

p(B1) Outcome B2

Decision Task

Payoff Portfolio B1

Complex Payoffs Revenues Costs Learning Turnover Morale Comp. Response Future Options Tech Market Facilities

Payoff Portfolio B2

p(B2)

Choosing or Option Portfolio Rejecting Should have no Known Options implication for the Unknown Options decision under Deferred Decision rationality assumptions

Integrating payoffs to determine overall utility

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Summary and Anatomy of A Decision 

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Recognize decision point - the hallmark of leadership. Identify decision task. Be aware of the options Know the outcomes of each of the options. Understand the probability associated with outcomes. Recognize the portfolio of payoffs. Develop rules to integrate the payoffs into utilities. Develop decision criteria to convert utilities into

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Decision Structure Application: Hiroshima 

Watch documentary

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Search the web, and find more information about this topic.

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Develop a decision-tree to represent the decision-making process.

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Please note: This is not an exercise in the judgment of the morality of the decision. All we are looking for is to capture the various forces that influenced the decision. To this end, I want to see a decision-tree that helps structure the decision process.

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If you find yourself getting stuck trying to generate the structure, stop. Stop and describe why a decision-tree approach does not work in this instance, and offer your solution for how to go about structuring this.

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