Google DeepMind, now simply known as DeepMind, is a British artificial intelligence (AI) company that was acquired by Google in 2014. It focuses on developing advanced AI technologies and is known for its groundbreaking research in machine learning, neural networks, and reinforcement learning. DeepMind gained significant recognition for its development of AlphaGo, an AI program that defeated a world champion Go player, which showcased the potential of deep learning techniques and complex strategic thinking.
Alan D. Taylor is a name that may refer to multiple individuals depending on the context. One prominent figure is an economist known for his work in international finance and macroeconomics. He has researched topics such as exchange rates, economic growth, and the effects of globalization. However, without additional context, it is difficult to determine which specific Alan D. Taylor you are referring to.
Alvin E. Roth is an American economist who is well-known for his contributions to game theory, market design, and experimental economics. He was awarded the Nobel Prize in Economic Sciences in 2012, which he shared with Lloyd Shapley, primarily for their work on the theory of stable allocations and the practice of market design.
In game theory, a **solved game** is a game for which an optimal strategy is known for all players involved. This means that the outcome of the game can be perfectly predicted, given the strategies employed by the players. Solved games typically have a defined structure, including a finite number of positions or states, which allows for thorough analysis.
Elias Koutsoupias is a prominent Greek computer scientist known for his research in theoretical computer science, particularly in the areas of algorithm design, computational complexity, game theory, and online algorithms. He is a professor at the University of Athens and has made significant contributions to various fields, including the study of algorithmic problems that arise in complex systems and networks.
Georg Weizsäcker likely refers to a prominent figure in the field of science and philosophy, specifically Georg (or George) Weizsäcker, who was a German physicist and also involved in philosophy. He made significant contributions to theoretical physics and is known for his work in various areas, including quantum mechanics and the philosophy of science.
Jean-François Mertens is a prominent Belgian mathematician known for his contributions to number theory and combinatorial mathematics. He is particularly well-known for his work related to probability and random processes, as well as for his involvement in mathematical education and research. Mertens has published various academic papers and has collaborated with other mathematicians in his field.
Larry Samuelson is an economist known for his contributions to game theory, microeconomic theory, and the economics of information. He is a professor at Yale University, where he has served in various academic capacities. His work often focuses on topics like strategic behavior, economic mechanisms, and the mathematical underpinnings of economic models.
Mahbub ul Haq (1928 – 1999) was a prominent Pakistani economist and politician, known for his contributions to economic policy, development, and human welfare. He is particularly recognized for his role in advocating for human development and for being one of the architects of the Human Development Index (HDI), which measures a country's social and economic development based on factors such as life expectancy, education, and per capita income.
Michael Maschler is an Israeli mathematician known for his contributions to game theory, particularly in the areas of cooperative games and bargaining theory. He is also recognized for his work in the field of mathematical economics. Maschler has co-authored several influential papers and works in these domains. His research often focuses on the mathematical foundations of decision-making processes and strategic interactions among rational agents.
As of my last knowledge update in October 2021, there is no widely recognized term or concept called "Navin Kartik." It's possible that it could refer to a specific person, a brand, or a term that has gained relevance after that date.
Robert Axelrod is an American political scientist and professor known for his work in the fields of political science, game theory, and the study of cooperation and conflict. He is best known for his book "The Evolution of Cooperation," published in 1984, where he explores how cooperation can emerge in a competitive environment. Axelrod demonstrated this using strategies applied in game theory, particularly through his analysis of the Prisoner's Dilemma.
A Trémaux tree, named after the French mathematician Édouard Trémaux, is a structure used in graph theory, specifically in the context of exploring undirected graphs. It is used to represent the exploration of the graph and the paths taken during a traversal. Typically, a Trémaux tree is constructed during a depth-first search (DFS) or a breadth-first search (BFS) of a graph, where the edges represent the paths followed by the traversal.
Sarit Kraus is a prominent researcher and scholar in the field of artificial intelligence, specifically known for her work in areas such as multi-agent systems, game theory, and human-agent interaction. She has contributed significantly to the understanding of how autonomous agents can operate and collaborate in complex environments, including those involving strategic interaction and negotiation. Kraus has held academic positions at institutions such as Bar-Ilan University in Israel and has published numerous papers in journals and conferences related to AI.
Epsilon-equilibrium, often denoted as ε-equilibrium, is a concept used in game theory, particularly in the context of non-cooperative games. It extends the idea of Nash equilibrium by allowing for a tolerance level, ε, that accounts for the possibility of small deviations from optimal play by players in the game. In a standard Nash equilibrium, each player's strategy is a best response to the strategies chosen by the other players.
Perfect Bayesian Equilibrium (PBE) is a refinement of Bayesian Nash Equilibrium in the context of dynamic games with incomplete information. It incorporates the concepts of beliefs and sequential rationality to provide a detailed analysis of players' strategies and their updates based on observed actions. The key elements of Perfect Bayesian Equilibrium include: 1. **Beliefs**: Players have beliefs about the types of other players (i.e., their private information) based on prior probabilities.
Sequential equilibrium is a concept from game theory, particularly in the context of dynamic games, which are games where players make decisions at various points in time, and the decisions can depend on past actions. A sequential equilibrium is an extension of the Nash equilibrium that takes into account the order of moves and the information available to players at each decision point. It considers both the strategies of players and their beliefs about the game's state.
Poisson games are a type of strategic game theory model that incorporates the idea of players arriving randomly over time, in accordance with a Poisson process. This framework can be useful for analyzing situations where players independently choose actions from a set of strategies, and the timing of when players enter the game is stochastic. In a typical Poisson game, players have a common interest or goal, but their interaction is characterized by random arrivals.
The Complexity of Cooperation typically refers to the intricate dynamics and mechanisms involved in cooperative behavior among individuals, groups, or entities across various contexts, including social, economic, biological, and technological systems. This concept often intersects with multiple academic fields, such as sociology, psychology, evolutionary biology, economics, and computer science. In a social context, cooperation may involve the ways in which people or groups work together to achieve common goals, resolve conflicts, or share resources.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 2.
    You can publish local OurBigBook lightweight markup files to either https://OurBigBook.com or as a static website
    .
    Figure 3.
    Visual Studio Code extension installation
    .
    Figure 4.
    Visual Studio Code extension tree navigation
    .
    Figure 5.
    Web editor
    . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
    Video 4.
    OurBigBook Visual Studio Code extension editing and navigation demo
    . Source.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact