Complexity Explorer
Complexity Explorer
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Відео

Complexity Explorer Peer Review TutorialComplexity Explorer Peer Review Tutorial
Complexity Explorer Peer Review Tutorial
Переглядів 33726 днів тому
How to use the Complexity Explorer Peer Review system. Created by Introduction to Agent-Based Modeling TA Kasia Samson.
Session 5: Agentize the Landscape Part ISession 5: Agentize the Landscape Part I
Session 5: Agentize the Landscape Part I
Переглядів 1,1 тис.7 місяців тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Complexity Explorer Journal Club: Marco Buongiorno Nardelli • Complexity of MusicComplexity Explorer Journal Club: Marco Buongiorno Nardelli • Complexity of Music
Complexity Explorer Journal Club: Marco Buongiorno Nardelli • Complexity of Music
Переглядів 1,4 тис.Рік тому
Marco Buongiorno Nardelli discusses his papers: Buongiorno Nardelli, M. (2020) Topology of Networks in Generalized Musical Spaces. Leonardo Music Journal, 30, 01079. & Buongiorno Nardelli, M. (2021) Tonal harmony and the topology of dynamical score networks. Journal of Mathematics and Music. Find the papers and other supplementary material here: www.complexityexplorer.org/courses/130-journal-cl...
Session 13: Traders EatSession 13: Traders Eat
Session 13: Traders Eat
Переглядів 702Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Session 2: Sugarscape with Traders OverviewSession 2: Sugarscape with Traders Overview
Session 2: Sugarscape with Traders Overview
Переглядів 5 тис.Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Computation in Complex Systems Introduction TA John MalloyComputation in Complex Systems Introduction TA John Malloy
Computation in Complex Systems Introduction TA John Malloy
Переглядів 1,3 тис.Рік тому
Register now for 2023 Computation in Complex Systems beginning March 28 www.complexityexplorer.org/courses/173-computation-in-complex-systems
Complexity Explorer Lecture: Epistemological emergence • Miguel FuentesComplexity Explorer Lecture: Epistemological emergence • Miguel Fuentes
Complexity Explorer Lecture: Epistemological emergence • Miguel Fuentes
Переглядів 1,7 тис.Рік тому
Introducing the first offering from Complexity Explorer in Spanish: a talk focused on philosophy of science in which SFI Professor Miguel Fuentes examines the concept of epistemological emergence through the lens of complexity science. www.complexityexplorer.org/courses/175-lecture-epistemological-emergence
Session 10: Traders Move Part IISession 10: Traders Move Part II
Session 10: Traders Move Part II
Переглядів 781Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Session 19: Data Collector (Agent Level)Session 19: Data Collector (Agent Level)
Session 19: Data Collector (Agent Level)
Переглядів 769Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Session 18: Data Collector ModelSession 18: Data Collector Model
Session 18: Data Collector Model
Переглядів 791Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Session 17: Traders Trade part IVSession 17: Traders Trade part IV
Session 17: Traders Trade part IV
Переглядів 530Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Session 1: IntroductionSession 1: Introduction
Session 1: Introduction
Переглядів 9 тис.Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Session 11: Traders Move Part IIISession 11: Traders Move Part III
Session 11: Traders Move Part III
Переглядів 629Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Session 7: Initialize TradersSession 7: Initialize Traders
Session 7: Initialize Traders
Переглядів 1,3 тис.Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org
Session 15: Traders Trade Part IISession 15: Traders Trade Part II
Session 15: Traders Trade Part II
Переглядів 366Рік тому
This video is from the online tutorial Agent-Based Models with Python: An Introduction to Mesa from Complexity Explorer and the Mesa ABM team. This tutorial introduces Agent-Based Modeling with the python-based library Mesa, github.com/projectmesa/mesa. Take the course in full at mesa.complexityexplorer.org

КОМЕНТАРІ

  • @seungjumoon3996
    @seungjumoon3996 3 дні тому

    thank you for the amazing video. Could you please share the information about the program used to simulate the DLA with different sticky direction ?

  • @francx_o
    @francx_o 3 дні тому

    How will the organnels interact with each other

  • @danielfabriciofreita
    @danielfabriciofreita 14 днів тому

    Respira antes de terminar uma frase

  • @yoonesmahdian2108
    @yoonesmahdian2108 21 день тому

    Hi. Thank you for the excellent course. I have a question: At one point in the previous video, you said: the amount of information in the whole universe (allowed by the laws of physics) equals 2^300. And in the end of the video you said: the DNAs of a human contain 2^(6 billion). Aren't a human DNAs information part of the universe information? After all, the DNAs are also built of particles.

  • @michaelfortunato1860
    @michaelfortunato1860 24 дні тому

    In decision theory, information has ***value*** if it "makes a difference" (improves one's expected value).

  • @Ramkumar-uj9fo
    @Ramkumar-uj9fo 26 днів тому

    True. NetLogo and SimScale are both platforms that primarily deal with simulations. NetLogo is a multi-agent programmable modeling environment used for simulating natural and social phenomena, while SimScale is a cloud-based simulation platform that provides engineering simulation tools like CFD (Computational Fluid Dynamics) and FEA (Finite Element Analysis). Therefore, subscribing to these channels indicates an interest in simulation-related content. ChatGPT ❤🎉 There is simulation ❤🎉

  • @Ramkumar-uj9fo
    @Ramkumar-uj9fo 28 днів тому

    Subscribed. Simulation. I know this. Network dynamics of social behaviour. NetLogo is an agent-based modeling platform used for simulating natural and social phenomena

  • @dan0_0nad76
    @dan0_0nad76 Місяць тому

    Criminally underrated series, your style of explaining things is just so smooth and enjoyable

  • @jesperandersson889
    @jesperandersson889 Місяць тому

    RUGGED edge

  • @miguelpanao9605
    @miguelpanao9605 Місяць тому

    7:31 Instead of “disorder”, the video should use “indeterminacy’

  • @philippos4330
    @philippos4330 Місяць тому

    Rule 110 (the universal CA) is not in the diagram. So it can't get coarse-grained?

  • @PhilSmulian
    @PhilSmulian Місяць тому

    You explained this really well Bill, thanks!

  • @philippos4330
    @philippos4330 2 місяці тому

    This is pure gold--thank you so much!

  • @abe.feinberg
    @abe.feinberg 2 місяці тому

    It looks like you may have missed editing out the pause and the initial take at about 6:16-not really a problem but I thought you might want to know! Loving this course by the way. I was reading a book on complex systems, but got stuck on some things because they were skipping over explanations of many of the fundamental concepts. The explanations in your videos are much more cohesive and are filling in many of the gaps in the book. So thanks for that! :D

  • @joe_hoeller_chicago
    @joe_hoeller_chicago 2 місяці тому

    Wow this is amazing

  • @hades3643
    @hades3643 2 місяці тому

    Very nice explanation. Thank you!

  • @alessandragoms9521
    @alessandragoms9521 2 місяці тому

    I love your course, Professor Melanie Mitchell, your way of explaining really inspires me. This course unit was very good, as it connected with everything, my work, my studies. And Stephanie Forrest was the guest I liked the most. Thank you very much for the course (and I'm sorry for my poorly written English, I'm Brazilian and don't speak the language)

  • @gandalfwiz20007
    @gandalfwiz20007 2 місяці тому

    I'll describe more easily: agent based modeling is Pathfinding, decision making and sometimes machine learning

  • @fornasm
    @fornasm 2 місяці тому

    Could you please somewhere list the Units of your course??

  • @user-ql9nw8vp2l
    @user-ql9nw8vp2l 2 місяці тому

    Hi I have a big interest in ABM. it's hard to get thru this course while doing my job.. but I realy appreciate your work and videos. from korea.

  • @AubreyEdwards-mf8dn
    @AubreyEdwards-mf8dn 2 місяці тому

    is white supremacy a complex system to dominate culture and from physics stand point?

    • @AubreyEdwards-mf8dn
      @AubreyEdwards-mf8dn 2 місяці тому

      is white supremacy the most dynamic complex system in American and the whole planet

  • @AubreyEdwards-mf8dn
    @AubreyEdwards-mf8dn 2 місяці тому

    is white supremacy a complex system to dominate culture perception and from a physics stand point?

  • @abcd51849
    @abcd51849 3 місяці тому

    If possible please provide a detailed video on Gambit application on strategic games for e.g if there are three players in which one player 1 emerges as market leader while both player 2 and player 3 followed player 1 in terms of price reduction in the market for increasing share....there are minimum 8-10 sequences with different profit outcomes everytime for each player. So please help how to calculate the various kinds of nash equilibrium through Gambit software application..

  • @bandalog11211
    @bandalog11211 3 місяці тому

    Hey! I have a question. The amount of pictures that can be generated into the letter E is not 2^10000, right? Some pixel combinations can in no way be interpreted as the letter E. This excludes a huge portion of the pixel combinations. So wouldn't a more realistic estimate be 2^4000 or something like that? Thanks for the series though, tremendously helpful.

  • @supu8599
    @supu8599 3 місяці тому

    This is what I needed 😅

  • @danilodasilvaborges396
    @danilodasilvaborges396 3 місяці тому

    Nice video! Which book do you recommend to start studying Nonlinear Dynamics? I have a physics background.

  • @walterrobinson6893
    @walterrobinson6893 3 місяці тому

    Very clear and helpful - thank you!

  • @jtowell123
    @jtowell123 3 місяці тому

    At 6 minutes I found the name of the product a little hard to discern with my poor hearing and limited knowledgeof the subject. I believe it to be glycoaldehyde.

  • @CHEL0VEK100
    @CHEL0VEK100 4 місяці тому

    Thank you for the small lecture. Is there any sources which I can reach to read about Lyapunov exponents and Lyapunov exponents spectrum on the Internet? I would like to program it to do some experiments but I can not find any good sources for exploration of the topic. And again thank you!

  • @prithwiraj1462
    @prithwiraj1462 4 місяці тому

    which book you follow?

  • @MM-ei7xv
    @MM-ei7xv 4 місяці тому

    hello do you have a book recommendation for this topic?

  • @user-ul1mc8lr1p
    @user-ul1mc8lr1p 4 місяці тому

    Did you miss a negative sign when taking the derivative of z with respect to lambda 1 in the fifth video?

  • @kvaka009
    @kvaka009 4 місяці тому

    Can something be physical without it also being a potential bit?

  • @chrisdongwon
    @chrisdongwon 4 місяці тому

    my god you are a genius

  • @shaikasif6447
    @shaikasif6447 4 місяці тому

    After struggling to understand the meaning of embedding dimension for a month, I found your video very helpful. Thank you very much

  • @christianmunozpelaez4691
    @christianmunozpelaez4691 4 місяці тому

    Very nice explanation, thank you!! (writing this comment one day before a complex systems exam hahah)

  • @richardfynn4711
    @richardfynn4711 4 місяці тому

    ATP is the energy currency of all living things. It is required to provide energy in a directed and controlled manner to do useful work in the cell, such as for moving material across membranes or around the cell, enzyme actions and for DNA replication, synthesis of materials required for life, among other things. How did the first protocell survive considering that it could not produce ATP, nor did it have the enzymes required to direct energy to do useful work. Energy without enzymes is destructive, not useful. I don't ever see these key issues raised in these origin of life explanations - why is that?

  • @consumeentertainment9310
    @consumeentertainment9310 4 місяці тому

    Isn't this a good summary of calculus. Love it☺

  • @michaelfortunato1860
    @michaelfortunato1860 5 місяців тому

    Will you be teaching the full course in the summer of 2024?

  • @InquilineKea
    @InquilineKea 5 місяців тому

    do fractal-like networks have more markov blankets?

  • @alenjakupovic678
    @alenjakupovic678 5 місяців тому

    Such a polite exchange; "die" - "ok"

  • @shayanzhalehdoost6844
    @shayanzhalehdoost6844 5 місяців тому

    thank you very very much for the effort, I deeply enjoyed every second of it. just hoped that the video was longer and more detailed. thank you again

  • @xNecromancerxxx
    @xNecromancerxxx 6 місяців тому

    I’m just here trying to figure out what the hell Ian Malcolm was talking about….

  • @SymphonePiano
    @SymphonePiano 6 місяців тому

    Thank you for making complex systems understandable to anyone 💛

  • @prochus
    @prochus 6 місяців тому

    Missing of rational laws is the problem here !

  • @TonyTigerTonyTiger
    @TonyTigerTonyTiger 6 місяців тому

    Various fatty acids can form abiotically: we know that because we have found them in meteorites. And mixtures of fatty acids can form vesicles.

  • @AlexPotts
    @AlexPotts 6 місяців тому

    Excellent explanation

  • @janerikbellingrath820
    @janerikbellingrath820 6 місяців тому

    cool

  • @oliveoil6195
    @oliveoil6195 7 місяців тому

    fyi the syntax "t walk l 60 t walk r 120 t walk l 60 t walk d" means this: t for hatch turtle, r for turn right by degree amount, l to turn left by degree amount, walk to move forward by a length (len), s to skip forward by a length and d to die. Length is set to 100 by default.

  • @YimengandCharles
    @YimengandCharles 7 місяців тому

    Hey there! Where can I find these simulations? Love the videos!