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Lecture
Introduction to Game Theory
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Related lectures (32)
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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.
Coalitions and Group Decisions
Explores Cooperative Game Theory, focusing on group decisions, voting protocols, manipulation, and the challenges of games with more than two players.
Separating Hyperplanes: Theory and Applications
Explores separating hyperplanes for two sets X and Y, discussing conditions for separation and implications of convexity.
Multiagent Systems: Planning and Coordination
Explores the use of multi-agent systems for planning, coordination, and task assignment among heterogeneous agents.
Game Theory: Minimax Theorem
Explores zero-sum games and the minimax theorem in Game Theory, emphasizing optimal strategies.
Intelligent Agents: Characteristics and Applications
Covers the characteristics, applications, and challenges of intelligent agents in software systems, emphasizing their role in making autonomous decisions and coordinating with other agents.
Connect Four: Alpha-Beta Pruning and Monte-Carlo Tree Search
Explores solving Connect Four using game theory algorithms and compares Alpha-Beta pruning with Monte-Carlo tree search.
Agent Platforms: Types, Intelligence, and Communication
Explores agent platforms, intelligence, and communication models in multiagent systems.
Intelligent Agents: Making Decisions and Planning
Covers intelligent agents, decision-making, planning, machine learning, and game theory.
Farkas' Lemma: Applications in Game Theory
Explores Farkas' Lemma, hyperplane separation, combinatorics, and its application in game theory, focusing on penalty kick strategies.
