Population Games and Evolutionary Dynamics- Towards a More Realistic Theory
Abstract
The theory of population games and evolution-ary dynamics has been used to study large-scale systems with numerous strategic agents, which would be impractical to analyze using regular normal-form games or classical decision theory. This framework, in addition to being scalable, employs nonlinear models, the stability aspects of which may be examined using system-theoretic methods such as passivity and LaSalle’s invariance principle. The overarching objective of this project is to broaden the applicability of population games and evolu-tionary dynamics methodologies by employing a more comprehensive framework with more realistic models and removing unrealistic assumptions. We will concentrate on establishing equilibrium stability tools to assess the agents’ long-term collective strategic behavior for such a framework. We will also use our stability results to develop methods for designing coordinating systems that leverage incentives to foster effective long-term strategic behavior and equitable resource distribution. This will be important in military op-erations involving a large number of autonomous, semi-autonomous, or human-operated units. Examples of how our work could be applied include- (1) autonomous transport ferrying supplies and equipment or engaging targets and establishing garrisons to defeat hostile forces in potentially far-flung regions; (2) pro-curement management under supply constraints; and (3) strategizing for the development of space power. The National Defense Strategy in recent years (2018-2022) informed the priorities of our work.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 06, 2024
- Source ID
- FA95502310467
Entities
People
- Nuno C. Martins
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Maryland