リーマン・ショックから量的緩和終了・出口問題へ - 国際経済 第7回
Explore the evolution of global economic policies from the Lehman Shock through quantitative easing, examining key US presidential administrations and central bank responses to financial crises.
ブレトン・ウッズ体制からリーマン・ショックへ - 国際経済の展開 - 第6回
Explore the evolution of international economic systems from Bretton Woods to the 2008 financial crisis, covering IMF policies, floating exchange rates, Reaganomics, and global monetary coordination.
Fed のテーパリング加速と日銀の金融政策 - 社会経済学入門 第11回
Dive into the analysis of Fed's accelerated tapering, its market impact, and Japan's monetary policy implications, with focus on BOJ's response scenarios and economic effects.
米中覇権衝突と国際政治経済学 - フリードバーグ『支配への競争』の分析 - 第4回
Delve into 米中覇権の分析と国際政治経済学的視点から見る両国の戦略、特にフリードバーグの「支配への競争」理論を通じて現代の覇権競争を考察する講義
村と都市をつなぐ：流通を回復する人びとの創意 - 2018年度アフリカ地域研究公開講座
Discover コンゴ民主共和国の村と都市間の流通回復に向けた人々の創意工夫と挑戦。戦後の交通インフラ崩壊から、地域社会が編み出した水陸輸送の革新的な取り組みを探る。
Mancala: Multiway Analysis and Game GUI Development in Wolfram Language
Explore Mancala through game graphs and multiway analysis, examining complexity and fairness across configurations while building an interactive interface.
Competitive Physics Informed Networks - Overcoming Limitations in PDE Solutions
Explore competitive physics-informed neural networks for solving PDEs with unprecedented accuracy. Learn about adversarial approaches and zero-sum games to achieve single-precision accuracy in numerical simulations.
Inflation as a Tool to Explore the Physics of the Early Universe
Explore inflation's role in understanding the early Universe, including primordial black hole formation and its implications for cosmology.
Opponent-Shaping and Interference in General-Sum Games
Explore opponent-shaping and interference in general-sum games, delving into multi-agent reinforcement learning and its applications in AI research.
Fostering Cooperation via Fairness in AI Systems
Explore fairness in AI decision-making, addressing efficiency, elicitation, and incentives. Learn theoretical foundations for fairness in voting, resource allocation, and machine learning.
Learning to Cooperate and Compete via Self Play
Explore AI strategies for cooperation and competition through self-play, featuring insights from poker AI breakthroughs and their broader implications.
Reheating and Particle Production in No-Scale Supergravity and Starobinsky-like Models of Inflation
Explore inflationary models in no-scale supergravity, focusing on R+R^2 gravity and Starobinsky-like models. Examine reheating processes and gravitational matter production mechanisms.
Porter's Five Forces Theory: Analysis of Competitive Business Environments
Explore Porter's Five Forces Theory and its application in business development and strategic operations. Learn about entry barriers, bargaining power, and threat of substitutes.
CBDC and Fiat Digital Currencies - Transforming Global Economies
Explore the transformative impact of CBDCs and stablecoins on global economies, digital payments, and settlement infrastructure. Gain insights into critical issues and lessons learned in establishing digital fiat currencies.
Are Supermassive Black Holes Primordial?
Explore the origins of supermassive black holes, their potential primordial nature, and challenges in explaining their existence through early universe models and observational constraints.
Pathwise Conditioning and Non-Euclidean Gaussian Processes
Explore advanced Gaussian process techniques for efficient Bayesian optimization, including pathwise conditioning and models on graphs and manifolds, enhancing decision-making in complex settings.
Introduction to Artificial Intelligence - Connect 4 Tournament - Lecture
Explore AI techniques and data structures for modern problem-solving, applying learned concepts to simple games in hands-on assignments.
Introduction to Artificial Intelligence - Game Theory Part 1 - Lecture 8
Explore game theory fundamentals and its applications in AI, focusing on strategic decision-making and problem-solving techniques in competitive environments.
Intro to Artificial Intelligence - Minimax and AlphaBeta Search - Lecture 10
Explore Minimax and AlphaBeta Search algorithms for game AI, learning key techniques to optimize decision-making in adversarial environments.
Introduction to Artificial Intelligence: Game Theory and Matrix Games - Lecture 8
Explore game theory fundamentals and matrix games in AI, covering key concepts and strategies for problem-solving in competitive environments.
Introduction to Artificial Intelligence: MiniMax and AlphaBeta Search - Lecture 10
Explore MiniMax and Alpha-Beta search algorithms for two-player game AI, covering implementation, optimization, and practical applications in decision-making processes.