nxn-games-on-networks.nlogo IV - 4 #7
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…velope in class. Updated README.
Co-authored-by: Benedetto Pitò - benedetto.pito@studio.unibo.it <benedetto.pito@studio.unibo.it> Co-authored-by: simonecocca <simonecocca@users.noreply.github.com> Co-authored-by: Nikocioni <Nikocioni@users.noreply.github.com> Co-authored-by: Sonia Compri - sonia.compri@studio.unibo.it <sonia.compri@studio.unibo.it>
This model written in Python using Mesa3 aims to reproduce the model xnx_imitate_if_better.nlogo. The model should work quite well; you can modify the payoff matrix, the revision probability, and the number of agents and steps to obtain different results. In the end, the model should produce a stacked histogram where the model's evolution is visualized.
Od tutorial
This model is a slightly more complex version of the previous one. The main difference is that the payoff matrix is a 5x5, meaning we now have five elements: rock, paper, scissors, lizard, and Spock. The idea is that each element can defeat two of the others and lose to the remaining two, keeping the game interesting and balanced. Scissors cut paper Paper covers rock Rock crushes lizard Lizard poisons Spock Spock smashes scissors Scissors decapitate lizard Lizard eats paper Paper disproves Spock Spock vaporizes rock And as always: Rock crushes scissors
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5x5 imitate if better This model is a slightly more complex version of the previous one. The main difference is that the payoff matrix is a 5x5, meaning we now have five elements: rock, paper, scissors, lizard, and Spock. The idea is that each element can defeat two of the others and lose to the remaining two, keeping the game interesting and balanced. Scissors cut paper Paper covers rock Rock crushes lizard Lizard poisons Spock Spock smashes scissors Scissors decapitate lizard Lizard eats paper Paper disproves Spock Spock vaporizes rock And as always: Rock crushes scissors cretits to the CBS show "The big bang theory" - https://www.youtube.com/watch?v=Z2Dwxv-EMTM
Not perfect. It gives me some warnings related to agent placement, but the model still works. The code only shows the final state of the forest (trees that are still alive in green, or burned in red) and the graph showing the percentage of burned trees over time. Set density at 60%
…s, on line 51). Thus, there's no need to call the `place_agent` method again. Also, there is no need to remove the agents from the cells - we run the model only once.
Removed unused code (the grid knows its boundaries)
Fatte alcune modifiche estetiche nella presentazione del grafico e aggiustato le labels
…s an internal variable. Positioning is still done at the level of constructor, especially for this kind of agents who don't moce.
Ok, now it works - the trick was just not to ever touch self.pos, it'…
Modifiche al modello 2x2: - agenti accoppiati casualmente a due a due - entrambi i membri di ciascuna coppia ottiene payoff -aggiunta variabile played per garantire che ogni agente giochi una volta sola per tick
Non ottengo i risultati presentati dal capitolo del libro e dopo diverse revisioni non sono riuscito a capire il perchè
aggiunta shuffle_do ma non solaraViz
5x5 imitate if better
2x2 imitate if better
Create nxn-imitate-best-nbr
nxn-imitate-best-nbr
Prima versione del modello nxn-imitate-if-better-noise-payoff-to-use in python. Da implementare nella parte grafica.
Ho aggiornato il modello in mesa 3. Rimane ancora da implementare la parte grafica. Sono a disposizione per suggerimenti.
Versione finale del codice per eventuali modifiche
Create nxn-imitate-if-better-rd-nw
Aggiornamento a Mesa 3
Nicol alesi
Alessandro casanova network
…-IV-4-Caretti nxn-games-on-networks.nlogo IV Caretti
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Modello implementato e, teoricamente, pronto.