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reverse game theory
also mechanism design for AI
Definition of reverse game theory
-
: the application of mechanism design to AI systems: starting with a desired outcome and designing rules, incentives, information flows, or penalties so that self-interested or strategic agents find compliant behavior rational
- The marketplace used reverse game theory to reward agents for honest bids and penalize unverifiable claims.
- Instead of asking the model to be cooperative, the safety team designed a mechanism in which cooperation was the agent's best available strategy.
Two meanings, one word
In everyday English
Game theory studies how decision-makers choose strategies when each person's outcome depends on what others do.
In AI
The application of mechanism design to AI systems: starting with a desired outcome and designing rules, incentives, information flows, or penalties so that…
Origin & history
Reverse game theory is a long-standing informal name for mechanism design, an economics field that works backward from a desired social outcome to rules that produce it among strategic participants. The phrase gained renewed AI attention in 2026 as researchers applied mechanism-design ideas to LLM evaluation, alignment, multi-agent coordination, and agent markets.
Editorial references
Sources & further reading
- How reverse game theory could keep AI agents in check↗ MIT Technology Review · 2026-11-03
- A Survey on Mechanism Design Meets Large Language Models↗ OpenReview · 2026
- Mechanism Design for Alignment via Human Feedback↗ OpenReview · 2025
Test yourself
Which of these is the meaning of reverse game theory?
Cite this entry
"Reverse game theory." AI Dictionary, Dadgogo, https://dadgogo.com/dictionary/reverse-game-theory/. Accessed 5 Nov. 2026.