Algorithmic thinking is a crucial skill that involves problem-solving through precisely defined instructions. This competency, applicable beyond computing, entails analyzing problems, identifying steps to solve them, and designing efficient algorithms. The importance of algorithmic thinking lies in

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Dive into the world of game development at Global Game Jam NEXT 2024 in Hong Kong, China. This event brings together passionate individuals to collaborate, design, and prototype video games and non-digital games. Explore workshops, team presentations, and the chance to turn your ideas into reality.

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Explore the concept of social dilemmas in game theory, analyzing inefficient outcomes, Pareto efficiency, and examples such as public goods and pricing strategies. Delve into the implications for societal welfare and the complexities of decision-making in social interactions and game theory.

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This material delves into the fundamentals of econometric theory for games, focusing on estimation in static and dynamic games of incomplete information, as well as discrete static games of complete information, auction games, and algorithmic game theory. It covers basic tools, terminology, and main

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As the world of Mixed Reality (MR) Game Development continues to evolve, developers increasingly recognize the importance of accessibility and inclusivity in their game designs. Creating experiences that are accessible to players of all abilities not only expands the reach of your game but also fost

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In the 1860s, croquet as a game kicked up in the United Kingdom, further the years passed when its popularity peaked and this game was adopted by the United States and then it went to other countries. The game of Croquet played in the garden is a fun-to game starting from the afternoon and going thr

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Development of mathematical theories such as model theory, proof theory, set theory, recursion theory, and computational complexity is discussed, starting from historical perspectives with Dedekind and Peano to Godel's theorems, recursion theory's golden age in the 1930s, and advancements in proof t

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Psychological theories of criminality delve into the association between intelligence, personality, learning, and criminal behavior. Major theories include Psychodynamic Theory by Freud, Behavioral Theory by Bandura, and Cognitive Theory by Kohlberg. These theories explore how unconscious mental pro

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Cooperative game theory explores situations where players have mutual benefits in cooperating. The focus is on bargaining solutions to reach agreements despite conflicting interests. Key concepts include Nash Bargaining Solution, Kalai-Smorodinsky Bargaining Solution, and Rubinstein Bargaining Proce

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A detailed exploration of algorithmic complexity bugs and insight into distributed micro-fuzzing methods. The study uncovers vulnerabilities through guided micro-fuzzing approaches, emphasizing the importance of AC bug detection and fuzz testing techniques such as seed inputs, fuzz observations, and

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The theory of firms is explored through the Neoclassical and Modern perspectives. Neoclassical theory focuses on profit maximization, while Modern theory delves into managerial, principal-agent, and transaction cost theories. The discussion covers criticisms of Neoclassical theory and the essential

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Game theory is a theoretical framework that analyzes social situations involving competing players. It helps predict outcomes in scenarios like pricing competition and product releases. Key elements include players, payoff, strategies, and optimal decisions. Game theory involves various types of gam

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The paper delves into the necessity for Explainable AI driven by regulations such as the GDPR, which mandates explanations for algorithmic decisions. It discusses the debate surrounding the existence of a legally binding right to explanation and the complexities of accommodating algorithmic machines

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Overview of theories of causation categorized into psychological, social psychological, and sociological perspectives. Psychological theories focus on instinctive, biological, and psychological qualities of abusers, including Attachment Theory, Psychodynamic Theory, Social Learning Theory, and Situa

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Exploring G.H. Sabine's perspective on political theory through a contextual approach, emphasizing the importance of historical context and societal influences. Sabine argues that while political theory evolves with its contemporary politics, it should be analyzed within its specific time and social

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This article discusses deterministic and combinatorial algorithms for submodular maximization, focusing on their applications in various fields such as combinatorics, machine learning, image processing, and algorithmic game theory. It covers key concepts like submodularity, examples of submodular op

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At the turn of the century, the discovery of the photoelectric effect challenged the wave theory of light, leading to the development of the quantum theory by Max Planck and Albert Einstein. This new theory introduced the concept of discrete energy units known as quanta, bridging the gap between wav

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The history of algorithms and algorithmic thinking dates back to ancient times, with the development of general-purpose computational machines by Charles Babbage in the 19th century marking a significant advancement. The term "computer science" emerged in 1959, encompassing theoretical computer scie

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This unit covers key concepts in computational thinking, including decomposition, abstraction, and algorithmic thinking. Decomposition involves breaking down complex problems, abstraction focuses on identifying essential elements, and algorithmic thinking is about defining clear instructions to solv

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This tutorial series discusses econometric theory for games, covering estimation in static games, Markovian dynamic games, complete information games, auction games, algorithmic game theory, and mechanism design. It explores topics like multiplicity of equilibria, set inference, and mechanism design

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Explore the application of algorithmic thinking in digital systems through the journey of Mike Clapper, the Executive Director of AMT. Learn about recognizing patterns in data, creating algorithms to solve problems, and utilizing information systems creatively. Enhance your knowledge of digital syst

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Overview of Dp-branes, NS5-branes, and U-duality derived from nonabelian (2,0) theory with Lie 3-algebra. Introduction to M-theory, including M2-branes and M5-branes in the strong coupling limit. Discussion on BLG theory, Lorentzian Lie 3-algebra, and the ABJM theory for M2-branes.

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Delve into discussions surrounding complex algorithmic challenges, such as the limitations in solving the 3-SAT problem within specific time bounds, the Exponential Time Hypothesis, proving lower bounds for algorithms in various scenarios, and exploring approximation ratios in algorithm design. Thes

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Guidelines and responsibilities for game clock operators, including dress code, rules study, pre-game preparations, and in-game conduct. Operators must be qualified, familiar with game timing procedures, and maintain focus on accurate timekeeping. Follows procedures for pre-game, game-time operation

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Exploring the concept of repeated games in game theory, this lecture covers infinitely repeated games, Nash and subgame-perfect equilibria, strategies, a Grim Trigger Strategy in the Prisoner's Dilemma, and automaton representation. Understanding how interactions evolve over time offers insights int

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Perturbation theory is a powerful tool in solving complex physical and mathematical problems approximately by adjusting solutions from a related problem with known solutions. This theory allows for more accurate approximate solutions by treating the difference as a small perturbation. An example inv

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Divine Command Theory asserts that morality is derived from God's commands, contrasting with Virtue Theory which focuses on developing moral virtues to achieve human flourishing and excellence. Divine Command Theory relies on religious texts, while Virtue Theory emphasizes the cultivation of virtues

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Ultimatum game is a fundamental model in game theory where two players engage in bargaining. Player 1 offers a share of money to Player 2, who can either accept or reject the offer. If accepted, Player 1 receives the remainder; otherwise, both get nothing. The formal model, extensive form representa

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Utilizing sketching in algorithmic design, Alex Andoni from Columbia University explores methodologies such as succinct efficient algorithms, dimension reduction, sampling, metric embeddings, and more. The approach involves numerical linear algebra, similarity search, and geometric min-cost matching

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Oligopoly theory explores the dynamics of competition among a few large firms that impact pricing strategies. Industries range from competitive to monopolistic based on market structure. Game theory analyzes strategic interactions among firms in oligopolistic markets, influencing decisions and outco

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Fermi liquid theory, also known as Landau-Fermi liquid theory, is a theoretical model that describes the normal state of metals at low temperatures. Introduced by Landau and further developed by Abrikosov and Khalatnikov, this theory explains the similarities and differences between interacting ferm

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Game theory delves into systems of interacting agents where outcomes depend on each agent's actions. Explored in various fields, it helps in agent design and mechanism design for optimal strategies and rule-setting. Topics covered include Nash equilibrium, coordination games, anti-coordination games

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- Rust, developed by Facepunch Studios and presented by Ben Walker, immerses players in a challenging survival game where they awaken on an island with nothing but a rock. The goal is to gather resources, craft tools, build shelter, and defend against other players. With multiplayer interactions and

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Exploring the concept of game theory within networks, focusing on decision-making, behaviors, and outcomes of interactions among interconnected agents. Game theory sheds light on various scenarios like pricing strategies, international relations, and evolutionary dynamics, offering insights into str

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Delve into the intricate world of jury decision-making through the lens of game theory. Explore how jurors interpret evidence, consider pivotal moments, and weigh the costs of convicting an innocent versus acquitting a guilty individual. Witness the complexities of a Bayesian game as jurors navigate

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Delve into algorithmic challenges in tracking tasks, exploring techniques like mean shift, Expectation-Maximization (EM), and line fitting. Understand the complexities of differentiating outliers and inliers, with a focus on segregating points into best-fit line segments.

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Delve into the intricacies of repeated games in game theory, including finitely and infinitely repeated games with and without perfect monitoring, trigger strategies, and folk theorems. Explore the concept of subgame perfect equilibrium (SPE) in finitely repeated games through examples like the Pris

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Greedy algorithms in algorithmic design involve making the best choice at each step to tackle large, complex problems by breaking them into smaller sub-problems. While they provide efficient solutions for some problems, they may not always work, especially in scenarios like navigating one-way street

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Integrating stakeholder voices is crucial in algorithmic team formation to ensure a positive team experience, quality outcomes, and high performance. This research explores learner-centered approaches and considers various team formation methods, highlighting their strengths and weaknesses in educat

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Explore the foundational theorems of Brouwer and Nash in Algorithmic Game Theory. Dive into Brouwer's Fixed Point Theorem, showcasing the existence of fixed points in continuous functions. Delve into Nash's Proof, unveiling the Nash equilibrium in game theory. Discover visualizations and constructio

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