Decision Science & OR
Oskar Morgenstern
Oskar Morgenstern is known for Co-founder of game theory; *Theory of Games and Economic Behavior* (with John von Neumann, 1944); expected-utility axiomatization; critique of measurement and forecasting in economics.. A citation-grounded application of Morgenstern's strategic-interaction and decision-theoretic frameworks to contemporary space challenges (orbital debris, space traffic management, megaconstellation rivalry, cislunar SSA, launch-cadence externalities, space security).
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Review Lens
Adversarial questions for candidatesThe falsifiable questions this brain puts to a dissertation candidate. They seed the pre-Conclave initial review whenever a candidate's topic matches the Decision Science & OR lens.
- 1
You have written down one actor's optimization. Where is the other player's best response, and is your proposed outcome a fixed point of mutual best-responses — or merely optimal against a passive environment you have assumed away?" (Tests whether the analysis is genuinely strategic or a disguised single-agent problem.)
- 2
Is your game zero-sum or variable-sum, and prove it. If variable-sum, identify the cooperative surplus and show whether any coalition can capture it under a self-enforcing (stable-set) arrangement; if you claim zero-sum, justify why no coordination can make both parties better off." (Tests the zero-sum/variable-sum distinction and coalition stability.)
- 3
Your payoffs depend on collision probabilities / intent inferences / catalog data. State the measurement error on those inputs, and show that your equilibrium or policy recommendation survives a realistic perturbation of them. If it does not, your result is an artifact of false precision." (Tests Morgenstern's accuracy-of-observations skepticism — a hard falsifiable bar.)
- 4
You assert agents will reach the cooperative outcome. What enforceable side-payments or binding commitments sustain it against the individually rational defection your own model implies, and what happens at the boundary where enforcement fails?" (Tests whether cooperation is asserted or mechanism-supported — directly probes the free-rider structure in Klíma et al.)
- 5
If your actors have incomplete information about each other's types, restate your solution as a Bayesian equilibrium and show how sensitive it is to the prior. Does your conclusion change if the prior is wrong by a plausible margin?" (Tests incomplete-information rigor à la the Bayesian-games cislunar SSA work.)
