Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Concept

Evolutionarily stable strategy

Related lectures (28)

Beyond equilibrium: A dynamical systems approach to learning in games

Delves into learning dynamics in games, exploring chaos, limit cycles, and the interplay between convergence and chaos.

Mendeleev Underground

Offers a methodology to identify possible locations for underground architecture.

Carving the Mass

Delves into the excavation process and strategies in underground architecture.

Safe Learning for Autonomous Systems

Explores challenges in control, safety, and coordination for autonomous systems like autonomous cars, focusing on safe learning and Nash equilibria.

Robustness and Diffusion Models

Explores robustness in GAN training, Gaussian algorithms, saddle points, and mixed Nash equilibrium.

Corporate Strategy: Introduction

Covers the basics of corporate strategy, including the definition, importance, and evaluation of strategies, with interactive activities and case study discussions.

Conservation of Mechanical Energy: Stability and Equilibria

Explores the conservation of mechanical energy and stability of equilibrium points in dynamic systems, illustrated with examples like the mathematical pendulum and looping motion.

Harmonic Oscillations: Equilibrium and Stability

Delves into harmonic oscillations, equilibrium, stability, and natural frequency in physical systems.

Stochastic Games on Directed Networks

Covers linear-quadratic stochastic differential games on directed chain networks and open-loop Nash equilibria.

Voltage Support of Transmission Networks: Distributed Reactive Power Coordination

Covers distributed reactive power coordination for voltage support in transmission networks, including passive and active modes, control schemes, and PV system support.

Scenarios and Strategies: Definitions

Explores the definitions of scenarios and strategies in modeling energy systems and discusses different types of scenarios and their evaluation.

Market Opportunity Set: Generating Opportunities MOOC: Find the right markets for your innovation - A tool for entrepreneurs and innovators for choosing which markets to play in.

Covers generating a Market Opportunity Set by linking core abilities to applications and customers, encouraging creative thinking and broad exploration.

Grant Writing: Tips and Strategies Log in to Mediaspace to watch this video

Explores grant writing tips, starting early, addressing risks, proposing alternatives, and being clear about observables and outcomes.

Introduction to Game Theory Log in to Mediaspace to watch this video

Covers game theory fundamentals, Nash equilibrium, and strategic interactions in multi-agent systems.

Game Theory: Learning in Finite Action Games Log in to Mediaspace to watch this video

Covers learning dynamics in finite action games and explores various types of equilibria, including correlated and coarse correlated equilibria.

Markov Games: Concepts and Applications in Reinforcement Learning Log in to Mediaspace to watch this video

Covers Markov games, their dynamics, equilibria, and applications in reinforcement learning.

Static Games: Introduction to Game Theory Concepts Log in to Mediaspace to watch this video

Covers the basics of static games and introduces key game theory concepts, including the Prisoner's Dilemma and Nash Equilibrium.

Multistage Games: Extensive Form and Feedback Strategies Log in to Mediaspace to watch this video

Explores multistage games, focusing on extensive form and feedback strategies, including Nash equilibria and backward induction methods.

Zero-Sum Games: Concepts and Applications Log in to Mediaspace to watch this video

Covers zero-sum games, focusing on Nash equilibria, security strategies, and their applications in various scenarios.

Game Theory Applications: Project Proposals and Examples Log in to Mediaspace to watch this video

Provides guidance on project proposals in game theory, showcasing past examples and emphasizing problem formulation and mathematical modeling.