Group:MathSpace: Difference between revisions
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|name=Talks: Prisoners, Morality and Chocolate Fountains | |name=Talks: Prisoners, Morality and Chocolate Fountains | ||
|desc= | |desc=This event will host our next round of talks: | ||
* 18:30 - Cake and puzzles. | * 18:30 - Cake and puzzles. | ||
* 19:00 - '''Morality Metrics on the Iterated Prisoners Dilemma (Axel Wagner)''' | * 19:00 - '''Morality Metrics on the Iterated Prisoners Dilemma (Axel Wagner)''' |
Revision as of 09:31, 17 February 2015
MathSpace | |
---|---|
When | Alternate Fridays, from 18:30 |
What | Talks and workshops on mathematical subjects |
Members | |
The London MathSpace is a group which meets every other Friday to discuss mathematics. We host talks, problem-solving and programming events.
All our events are held at London Hackspace, 447 Hackney Road.
If you would like to do a talk or have any ideas for an event, please say so here or on our mailing list.
Talks: Prisoners, Morality and Chocolate Fountains |
20 February 2015 at 18:30 |
Hosted by MathSpace |
This event will host our next round of talks:
|
Future events
The talks listed here are provisional and subject to change.
06 March 2015
Non-talks event.
Past meetings
07 Feb 2015
- Project Euler maths and programming evening.
23 Jan 2015
- Folding Tube Maps (Matthew Scroggs) - write up
- AI and Bots in Game Design (Martin Clarke) slides
- Regime detection in multivariate stochastic processes (Alex Bolton)
09 Jan 2015
- Voting Theory (Alex Bolton) - slides
05 Dec 2014
- Diffie-Hellman Key Exchange (Axel Wagner) - slides
21 Nov 2014
- Braiding (Matthew Scroggs) - write up
24 Oct 2014
- Flexagons (Matthew Scroggs) - Flexagon templates
Proposed talks
If you would like to do a talk, please add it below or post on our mailing list:
Name | Topic | Approximate length | Other details |
---|---|---|---|
Matthew Scroggs | How to build a propositional logic robot | 20-30 mins | How I built @mathslogicbot and some of the maths behind it. |
Cameron | Decision making under uncertainty | 15-20 mins | Models for how we make decisions under uncertainty, starting from Utility theory |