SFI / NMC Program on Combining Information Theory and Game Theory
Organizers: David Wolpert (SFI External Faculty), Simon DeDeo (SFI Omidyar Fellow), Nils Bertschinger (Max Planck), Eckehard Olbrich (Max Planck), Eric Smith (SFI External Faculty), Luis Bettencourt (SFI)
How a single agent (human, firm, animal, etc.) behaves typically depends on what information it has about its environment, and on its preferences. Accordingly, the joint behavior of multiple interacting agents can depend strongly on the information available to the separate agents, both about one another, and about external random variables. Precisely how the joint behavior depends on the information available to the agents is determined by the preferences of those agents. So in general there is a strong interplay among the preferences of all the agents, their behavior, and the information structure connecting them.
One tool that might help us understand this interplay is Shannon information theory. In Shannon information theory, information is a function of a distribution. Increasing the amount of information in a distribution means making that distribution more tightly concentrated. This definition applies not only if the support of the distribution shrinks or expands, but also if it moves.
Another tool that might help us understand the interplay is game theory. In contrast to Shannon information theory, game theory does not quantify information in terms of properties of probability distributions. Rather the information available to a player is quantified as an "information set," specifying a set of states the world might be in. The amount of information available to a player increases if such an information set shrinks. In contrast to the case with Shannon information theory, the change in information for moving an information set is undefined.
There are other differences between information theory and game theory. For example, whereas the foundations of Shannon information theory concern a single player (the designer of a communication network), the foundations of game theory concern multiple players.
Reconciling the different perspectives on information in Shannon information theory and game theory could have many benefits. Most directly, it may help us understand the interplay among the preferences of a set of interacting players, their behavior, and the information structure connecting them. As potential examples, it might help us address issues like the following:
1. How do information theoretic quantifications of the joint behavior of a set of interacting players (e.g., mutual information between actions of pairs of them) vary with changes to the preferences of those players?
2. Can relating the philosophical foundations of the two fields improve them? For example, as Shannon himself emphasized, Shannon information is purely "syntactic," quantifying the amount of information in a distribution purely by how concentrated it is. Can the utility functions of game theory—which depend not just on how concentrated a distribution is, but also on where it is concentrated—be used to define a "semantic" variant of Shannon information?
3. Can relating the mathematical formalisms of the two fields improve them? For example, are there analogs of the powerful theorems of information theory for game-theoretic quantities, e.g., game theoretic versions of results concerning rate distortion tradeoffs, the data processing inequality, etc.?
More generally, greater understanding of the relation between information theory and game theory may generate breakthroughs in many disciplines, including economics, political science, cognitive sciences and artificial intelligence.
Full web page here.
Venue: Santa Fe Institute, Santa Fe, NM
Summary: Technological change is a key component of economic growth. However, economists' treatment of this is typically at an aggregate level, in which technology is represented merely as a single number called the "total factor productivity". This workshop will bring together researchers from a variety of disciplines to make first steps toward constructing a theory of technological change. The discussions will focus on understanding ecosystems of interacting technologies and the factors that cause them to evolve through time. Please join this foremost group of experts, economists, biologists, applied mathematicians, physicists, engineers, archaeologists, and anthropologists for a one-day event in Santa Fe.
The workshop is supported by the Santa Fe Institute, the Institute for New Economic Thinking and the U.S. Department of Energy.
Venue: Towers Watson, London, UK
Co-hosted by Towers Watson
Summary: Business enterprises in general, and the modern corporation in particular, have become increasingly important elements in modern life and society. This topical meeting will address the historical origins of the modern corporation, the evolutionary nature of the firm, the impact of increasing globalization, the life cycle of the modern corporation, the implications of the "corporations are persons" doctrine in US law, and the relationship between corporations and other major social institutions such as cities.
Organized by the Center for Understanding Change
Held at the Santa Fe Institute, Noyce Conference Room
The past five+ years have been clouded by massive economic upheavals – and not just from the recession. The purpose of this Summit is to identify and resolve the issues that confront simulation software and the simulation software industry as we move beyond the recent economic crash and face new and complex challenges. We’re defining the simulation software industry as the ecosystem that creates or uses software to analyze, and simulate complex systems/products.
The need for simulation tools, products, and services has never been higher, yet we face major challenges limiting our ability to capitalize on that need. Some of those challenges are obvious to all, some less so – and there are more that we haven’t even considered yet. Attending the Summit will be a “who's who” of the CAE and engineering software industry: 40 visionaries, each with the role and position that empowers them to implement their vision.
A limited number of seats are available to Business Network Members. Please contact Casey Cox at email@example.com if you are interested in attending.
October 13, 2015
Co-organized with Martin Leibowitz, Morgan Stanley, Michael Mauboussin, Credit Suisse and SFI, John Rundle, UC Davis and SFI
Held at Morgan Stanley in New York, NY
Register now for SFI's 2015 Short Course — Exploring Complexity in Social Systems and Economics — August 25-27 in Santa Fe.
The Santa Fe Institute again has ranked among the world's top science and technology think tanks.
SFI is playing a leading role in an international scientific conference on complex systems science to be held this fall ...
During an SFI Community Lecture January 14 in Santa Fe, Stanford linguist Daniel Jurafsky explored the stunningly complex language of ...
SFI is accepting applications for its signature education program for graduate students and postdocs -- the 2015 Complex Systems Summer School ...