ScholarGate
المساعد

قارن الطرق

راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.

خوارزمية غيل-شابلي×نموذج الوكيل والموكل×
المجالنظرية الألعابنظرية الألعاب
العائلةMachine learningMachine learning
سنة النشأة19621976
صاحب الطريقةDavid Gale, Lloyd ShapleyMichael Jensen, William Meckling, Bengt Holmstrom
النوعalgorithmalgorithm
المصدر التأسيسيGale, D., & Shapley, L. S. (1962). College admissions and the stability of marriage. The American Mathematical Monthly, 69(1), 9-15. DOI ↗Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: Managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 3(4), 305-360. DOI ↗
الأسماء البديلةStable Marriage Problem, Deferred Acceptance, Two-Sided MatchingAgency Theory, Hidden Action Problem, Moral Hazard
ذات صلة44
الملخصThe Gale-Shapley algorithm solves the stable marriage problem: how to match two groups (e.g., medical residents to hospitals, students to schools) such that no pair prefers each other to their assigned partners. Introduced by David Gale and Lloyd Shapley in 1962, the algorithm guarantees a stable matching in polynomial time through a deferred acceptance process where one side proposes sequentially and the other side responds, revising choices as better options arrive.The Principal-Agent Model analyzes how a principal (e.g., owner, employer, policymaker) can incentivize an agent (e.g., manager, employee, firm) to act in the principal's interest when the agent has private information or can take hidden actions. Formalized by Jensen and Meckling in 1976, the model identifies agency costs arising from moral hazard (the agent exerts less effort than desired) and adverse selection (the agent hides unfavorable information). Optimal contracts balance incentives with risk allocation.
ScholarGateمجموعة البيانات
  1. v1
  2. 2 المصادر
  3. PUBLISHED
  1. v1
  2. 2 المصادر
  3. PUBLISHED

انتقل إلى البحث تنزيل الشرائح

ScholarGateقارن الطرق: Gale-Shapley Algorithm · Principal-Agent Model. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare