Looking forward to the start of this Daily Study Group on Monday!

I got this message when I tried to download materials for this study group:

Oops! The page you're looking for can't be found.

Should be fixed now, please try again!

Perfect! Thanks.

As with most things, you have to decide what to model and what not to model in a given situation. In brief, yes, it is possible to model dynamics where the choice of strategies available to one player (a "house" player in the context of common games of chance as you might put it) are completely different than the strategies available to other players. The central idea is that each "player" needs various strategy options and that each player has a view on what utility (or payoff) they gain given all participants' choice of strategies.

Does game theory include one-person games like solitaire?

Will the notebooks in the download area be updated with the material that was actually presented?

General question. At the end of class today Prof. Thomas briefly mentioned that Field Theory of Games can be used in regards to electromagnetic fields in terms of payoffs.

I was wondering where I can find more info on that?

Also I was wondering if Field Theory of Games has been applied to the electromagnetic fields of the human physiology in anyway?

More generally for any other processes in the body, psychological processes, or in some general way of connecting psychological processes to a psychological data?

Have you thought about Field Theory of Games application with LLM's or visa versa?

I wasn't feeling well this morning, so I am watching the recorded session Wednesday evening. Where do I download Wednesday's notebook file?

While the analysis shown in the study group uses the normal form of a game, it is often practically possible to turn the extensive form into normal form. You can see this outside reference for more on representing games in different forms: Link . As you point out, the model has to contain all possible moves to lead to correct conclusions. In either extensive form or normal form, if the person doing the modeling hasn't included a relevant possibility, then the conclusions won't be right. As long as you can assign a utility value to strategies that might be considered cheating in the colloquial sense of the word, they can be included as just another strategy available as a choice to agents.

I believe the comment was the other way around. The kind of mathematical analysis used in the field theory of games is common to modeling various physical systems (like electromagnetic fields). As for where to read more about this, one option is a series of books written by Dr. Thomas: Link . In the references of this MathWorld article, you can also find many places to read about classical game theory: Link .

While the formalism is similar to the way one might model electric fields, that's not to suggest any formal connection to bioelectric signals (at least not as far as I know).

As for connection between game theory and LLMs, there are interesting examples (such as this wolfram summer school project Link ) where you can explore how does an LLM behave as an agent in various games.

Hi, I'm told that whatever issue may have caused this should be resolved. Let us know if anything else unexpected happens!

One option would be to run only the cells that you want at a given time. Another option would be to use the NotebookEvaluate function to evaluate all the cells in a given notebook. I believe the initialization was done before the presentation rather than live each time. NotebookEvaluate["PathToYourNotebook.nb"] would run all the cells in the notebook at the specified path. When learning new functionality, I think it is probably better to initialize only the cells you need. However, either is possible in principle.

Hi Stephan, sorry for the inconvenience, I believe an updated link was sent to you for downloading the materials. Here is that link again: https://wolfr.am/1oLBHJtqF