From 4cda012a4ba7ff4d4e2908574e326705189082ca Mon Sep 17 00:00:00 2001 From: Danilo Pianini Date: Wed, 30 Nov 2022 10:07:32 +0100 Subject: [PATCH] chore: fix the readme item numbering --- README.md | 40 ++++++++++++++++++++-------------------- 1 file changed, 20 insertions(+), 20 deletions(-) diff --git a/README.md b/README.md index 32abb9e..35b6d1d 100644 --- a/README.md +++ b/README.md @@ -50,23 +50,23 @@ and the graphical interface usage description available [here](https://alchemist try to solve the following exercises: 1. Add two nodes to an empty, continuous environment, and make them connected -1. Create 10000 nodes randomly displaced inside a circle centered in (0,0) and radius 10 -1. Create a grid of nodes from (-5,-5) to (5,5), with nodes every (0.25,0.25) distance units, and no perturbance -1. Create a perturbed grid from the example above -1. Put some {token} LSAs in some nodes of the system -1. Write a "dodgeball" program -1. See how YAML can be used to write personalised sections and how they can be referred -1. Modify the dodgeball program so that it *counts* in the LSA the number of passes -1. Write an LSA diffusion program: after some time, every node of the network must have the {token} LSA. Use the `*` operator -1. Look at the `10-math.yml` file. Esperiment with it and try to move nodes around manually. -1. Write a gradient, it should: - 1. convert a `{source}` to a `{gradient, 0}` (don't delete the source!) - 1. diffuse to neighbors the gradient, whose value is increased of `#D` - 1. if there are multiple copies of the gradient, keep only the lowest (immediately!) - 1. every some time "age" the information by increasing its value - 1. delete gradients whose value is higher than some threshold (e.g. 20). -1. Take a look to `12-sets.yml`, and see how the set arithmetic works. Run it, and see the result. -1. Modify the program above by changing the time distribution, using a personalised one: a DiracComb with parameter 0.5 -1. Take a look to `14-yaml.vars.yml`, and make sure to understand how the variables system works -1. Take a look to `15-move.yml`, run it and play with its variables -1. Try to run `16-maps.yml` (note: it can take some time on the first load). Get a glance of the possible complexity of advanced scenarios. Discuss the result, modify the example as you like. +2. Create 10000 nodes randomly displaced inside a circle centered in (0,0) and radius 10 +3. Create a grid of nodes from (-5,-5) to (5,5), with nodes every (0.25,0.25) distance units, and no perturbance +4. Create a perturbed grid from the example above +5. Put some {token} LSAs in some nodes of the system +6. Write a "dodgeball" program +7. See how YAML can be used to write personalised sections and how they can be referred +8. Modify the dodgeball program so that it *counts* in the LSA the number of passes +9. Write an LSA diffusion program: after some time, every node of the network must have the {token} LSA. Use the `*` operator +10. Look at the `10-math.yml` file. Esperiment with it and try to move nodes around manually. +11. Write a gradient, it should: + 1. convert a `{source}` to a `{gradient, 0}` (don't delete the source!) + 2. diffuse to neighbors the gradient, whose value is increased of `#D` + 3. if there are multiple copies of the gradient, keep only the lowest (immediately!) + 4. every some time "age" the information by increasing its value + 5. delete gradients whose value is higher than some threshold (e.g. 20). +12. Take a look to `12-sets.yml`, and see how the set arithmetic works. Run it, and see the result. +13. Modify the program above by changing the time distribution, using a personalised one: a DiracComb with parameter 0.5 +14. Take a look to `14-yaml.vars.yml`, and make sure to understand how the variables system works +15. Take a look to `15-move.yml`, run it and play with its variables +16. Try to run `16-maps.yml` (note: it can take some time on the first load). Get a glance of the possible complexity of advanced scenarios. Discuss the result, modify the example as you like.