#netlogo

[baroqueplusplus]

This is a concept for a memorial for a relative of mine who died as a child. Her body is memorialized in this diamond made from her cremains.

[mediocrephd]

My dynamic energy budget (DEB) model using data for my study species finally resembles something coherent!

There's still so much I need to learn about this type of model before it can be used fully in my project though, and some parameters that need figuring out properly. But look! It goes!

Also, it snowed quite well over the weekend here in Scotland. So please enjoy this photo I took of a loch I stopped at while having a car-lunch at the weekend! :)

[storybittensoul]

In college I made an Agent Based Model of the campus and simulated Desire Paths to see if it matched the sidewalk design. It was really cool to see where the college got it right and where it struggled, and my professor used it as an example during college fairs to attract students to the programming course.

[oofuri2003]

I think if you ran a tajiabe relationship simulation and did like 100 iterations it would end with tajima dead on day 3 in like 80% of them

[hungwy]

Screenshot of NetLogo 5.0 running on Mac OS X

[hydralisk98]

Suggestions to make the best use of the remainder of 2023...

Yeah, I try to prepare a couple things as to bloom next month onwards. Essentially boils down to job-seeking hunt while balancing such with my creative output getting back to speed.

There are so many interesting matters to learn and all while earning a living for it, a great excuse to do courseware and make creative things yk (seriously considering mixing my own ideas of solarpunk-esque explainers and curating lists of learning courseware... stuff as to get my way to contribute to KDE Plasma or whatever);

guess the best way to start a decent career for me would be to cultivate that creative portfolio of mine...

If I am not mistaken, the best way to start would simply to produce and publish some cool data viz stuff about things I like... (I do enjoy many special interests but especially want to dive into sidestream computation and sustainable DIY imaginative paracosms)

As in, I really do want to craft a Artix KDE Plasma/Liquid Kate on RISC-V creative workflow taking advantage of SBCL (Lisp) with a HTML-esque canvas with REPL and whatever symbolic computation stack/deque stuff I want to explore... (Lain, Parade & ZealOS)

Part of that is definitely investigating obsolete-ish stuff (COBOL, LISP 1.5, QuakeC, EVALDRAW, Qodot...) and creating a handful of small game levels derived from the imaginative geometry quirk I talked of the other month...

I sure hope we get to see more cool stuff going along soon... Especially around NetLogo systemic design, DrawLISP rich media canvas and "Love/Hate"+"QuestMachine"...

[matanogsittieashley547]

My Contribution an ABM student to the Society

As an ABM student, I am contributing to the field of complex systems research by using Agent-Based Modeling (ABM), which simulates the behavior of autonomous agents in a specific environment. This approach allows researchers to explore complex systems and phenomena that are difficult to study through traditional experimental methods. My research focuses on understanding the dynamics of social systems, such as the spread of infectious diseases, the emergence of social norms, and the formation of social networks, by modeling the behavior of individuals and their interactions. I am actively involved in the ABM community, attending conferences, presenting my work, and collaborating with other researchers. I also contribute to the development of ABM software and tools, such as NetLogo and Repast, which are widely used in the field. As an advocate for open science, I regularly publish my work in peer-reviewed journals and make my models and data available on open repositories like GitHub and Zenodo. My goal is to advance our understanding of complex systems and contribute to the development of new methods and tools for modeling and simulation, while promoting the use of ABM in interdisciplinary research with biology, economics, and sociology.

[evoldir]

Fwd: Course: Poland.AgentBasedModels.29July-2August

Begin forwarded message: > From: evoldir@evol.biology.mcmaster.ca > Subject: Course: Poland.AgentBasedModels.29July-2August > Date: 19 April 2024 at 06:13:34 BST > To: rdmpage@gmail.com > > > > Dear all, > > We're excited to announce our upcoming five-day course on Agent-Based > Modelling Using NetLogo, happening from July 29th to August 2nd, 2024, > at the Faculty of Biology and Environmental Protection, University of > Lodz, Poland. > > Course website: ( > https://ift.tt/Ksq3tCo ) > > Agent-based modeling (ABM) is a powerful technique for unraveling the > dynamics of complex systems, spanning natural and social sciences. Led > by renowned experts, Professors Volker Grimm and Steve Railsback, this > course will equip you with the knowledge and skills to design, implement, > and evaluate ABMs tailored to your research and teaching needs. > > Here's what you can expect: In-depth instruction in ABM principles and > practice Hands-on tutorials and exercises using NetLogo, a leading ABM > software platform Open discussions and independent project work > > For the full list of our courses and workshops, please visit: ( > https://ift.tt/Ksq3tCo ) > > Best regards, > > Carlo > > > Carlo Pecoraro, Ph.D > Physalia-courses DIRECTOR > info@physalia-courses.org > mobile: +49 17645230846 > > > "info@physalia-courses.org"

[geishastatistika]

Sekilas Penjelasan Software Netlogo serta Fitur Unggulannya

Ketika menganalisis data, hal yang penting di perhatikan tidak hanya prosesnya saja, tapi juga hasil akhirnya. Selengkapnya dapat dilihat di https://patrastatistika.com/sekilas-penjelasan-software-netlogo-serta-fitur-unggulannya/

[translate-abstrak-skripsi-tesis]

Sekilas Penjelasan Software Netlogo serta Fitur Unggulannya

Ketika menganalisis data, hal yang penting di perhatikan tidak hanya prosesnya saja, tapi juga hasil akhirnya. Metode pemodelan serta simulasi data biasanya akan di pakai untuk mempermudah masyarakat dalam menangkap maksud dari hasil analisis tersebut.

Selengkapnya dapat dilihat di https://patrastatistika.com/sekilas-penjelasan-software-netlogo-serta-fitur-unggulannya/

[baroqueplusplus]

Ten years ago, I proposed to my girlfriend with this ring. It was the beginning of my journey as an algorithmic jewelry designer

[mediocrephd]

Sorry for the silence. My mental health has really ✨taken a hit✨ recently.

But! I'm back now, AND I finally, finally got a deb model to run with my mussel species! I'm thrilled!

Now I have to figure out a couple of parameters and find some temperature variable parameters, so that's the next big problem to solve.

Anyway, progress is being made, and I'm trying to get better.

It doesn't look like much, but trust me, it's amazing considering I've just been getting errors for months.

[professionalacademicwriter]

5 Most Effective Tips to Write a NetLogo Assignment

NetLogo is a powerful, versatile platform for modeling complex systems, making it a valuable tool for students and researchers alike. However, when it comes to writing NetLogo assignment, it's important to ensure that your instructions are clear, concise, and well-structured. In this blog, we will explore five effective tips to help you create engaging and educational NetLogo assignments.

1. Understand the Fundamentals of NetLogo

Before you can create an effective NetLogo assignment, it's crucial to have a strong understanding of the software yourself. Take the time to explore the basics of NetLogo, from creating agents and patches to defining rules and running simulations. Familiarize yourself with the NetLogo interface and its features so that you can guide your students through the process confidently.

2. Define Clear Learning Objectives

Your NetLogo assignment should have clear learning objectives that align with your educational goals. Ask yourself what you want your students to achieve by completing the assignment. Are you trying to teach them a specific modeling concept, problem-solving skills, or data analysis? Once you've identified your objectives, design the assignment in a way that facilitates these learning outcomes.

3. Break Down the Assignment into Manageable Steps

Complex modeling tasks can be intimidating for students. To make your NetLogo assignment more approachable, break it down into smaller, manageable steps. This will help students understand the progression of the assignment and make it less overwhelming. For example, you can start with agent creation, move on to defining interactions, and then advance to data collection and analysis.

4. Provide Clear Instructions and Examples

Clarity is key when writing a NetLogo assignment. Provide detailed step-by-step instructions and include examples to illustrate the concepts you're teaching. Make sure that your students understand how to use the NetLogo interface, create agents, and manipulate patches. Use screenshots and code snippets to reinforce your instructions. You may also want to provide annotated scripts to help students understand the logic behind the modeling.

5. Encourage Creativity and Problem-Solving

NetLogo assignments are an excellent opportunity to foster creativity and problem-solving skills. Encourage your students to explore and experiment with their models. Allow them to modify parameters, add new features, and think critically about the system they are modeling. By doing so, you will inspire a deeper understanding of complex systems and the ability to design innovative solutions.

Conclusion

Writing a NetLogo assignment that is both effective and engaging requires a combination of understanding the software, setting clear learning objectives, and providing detailed instructions. Remember to break down the assignment into manageable steps and encourage creativity and problem-solving among your students. By following these five tips, you can create NetLogo assignments that not only help students grasp the fundamentals but also inspire a passion for modeling and complex systems. Happy modeling!

[sustainableyadayadayada]

an agent-based stock market simulator

This agent-based stock market simulator, which was originally programmed in NetLogo and later moved to R, captures the behavior of the market in a statistical sense. Which is to say, it shows how multiple traders following logical strategies can add up to a whole lot of randomness and unpredictability. Also known as autoregressive conditional heteroscedasticity and/or generalized autoregressive…

[syscyber]

Systems & Cybernetics Site Map & Web Stuff

IconArchive.com

Diego Azeta blogs:

» Sys•Cyber ✴️🔆✴️ The real cybernetics

» Diego•Azeta 🌐 Azeta Azota

» La•Colonia 🇵🇷 World's oldest colony*

*World's most experienced colony (®Pan Am™)

Sys•Cyber ✴️🔆✴️ blog:

American Society for Cybernetics

Cognitive Science Society

International Society for Systems Sciences

Fractal self-similarity

Principia Cybernetica

Simulation Modeling Software Analyze • Visualize • Optimize

AnyLogic - agent-based modeling (ABM), discrete event simulation (DES), system dynamics (SD) modeling

NetLogo - ABM development environment

Mesa - Python ABM

AgentPy - Python ABM library

Simantics System Dynamics - open source SD modeling & simulation software

Insight Maker - ABM & SD online simulation

Systems Dynamics Society - core software

Systems Dynamics Society - web-based tools

Capterra - best free simulation software

Online Resources

Computer Modeling and Simulation by Ángel A. Juan Pérez, Open University of Catalonia. A brief overview of DES. (PDF)

Gentle Intro Discrete Event Simulation

Intro Discrete Event Simulation (PDF)

Intro to Modeling and Analysis of Complex Systems by Hiroki Sayama, SUNY Binghamton

Complexity - Wikipedia

Complex System - Wikipedia

Principles of Systems Science - U Wash PDF

Systems Theory - Wikipedia

Cybernetics and Systems (open journal)

International Encyclopedia of Systems and Cybernetics 2e

The Limits to Growth - The classic world sim, now more relevant than ever. 🌟🌟🌟🌟🌟

System Dynamics - Wikipedia

What Is System Dynamics - SD Society

Intro System Dynamics - MIT OCW

The Beginnings of SD - Jay W. Forrester

Mathematics of SD - Worcester Polytechnic

Descriptive Statistics - Bhandari @ Scribbr

Inferential Statistics - Bhandari @ Scribbr

Descriptive vs inferential Statistics - by Zach @ Statology

Bayesian Statistics - Wikipedia

Bayesian Statistics & Modeling - Gelman

Open Access Textbooks 📚

OAT Resource Directory - U Buffalo

Directory of Open Access Books

Math Open Textbooks - AI Math

LibreTexts

• LibreTexts Systems Engineering

Open Textbook Library

OpenStax

OER Commons Open Textbooks

Milne Open Textbooks - SUNY

IntechOpen Books

Merlot Materials

Saylor Academy Open Textbooks

Find e-Books/Books in general:

Guide to e-Books - UC Berkeley

18 Free e-Book Sites - Lifewire

Index of Books - Google Books

Open Library - Internet Archive

Lifelong Learning - Free

Carnegie-Mellon Open Learning

MIT Open Learning

Open Michigan

Open Yale

Stanford Online

Systems Pre/Co-reqs

Recommended for learners of systems science, cyber systems analysis, and cyber systems engineering. Work at your own pace.

Probability & Statistics

Probability & Statistics - Carnegie-Mellon OLI

Intro Probability & Statistics - MIT OCW

• Introductory Statistics with Randomization and Simulation (Open Textbook Library)

• Intro Bayesian Statistics - Rice, U Wash

Linear Algebra

Linear Algebra - Strang, MIT OCW

• Linear Algebra (text) - Pinkham, Columbia

• Understanding Linear Algebra - Austin

Python Programming

🌟 PythonAnywhere - Online IDE

• Getting Started Python - Michigan Online

• Think Python 2e - Downey

• Intro Computer Science Python - MIT OCW

• Python online tutorial - Google

• Core Python Tutorials - Real Python.com

Linear Programming

Linear Programming (basic ideas) - OU

• LP (basic ideas) mini-text (PDF) - OU

Economics

Microeconomics - Gruber, MIT OCW

• Intermediate Microeconomics - Emerson

Game Theory

• Game Theory - Open Yale Courses

• Game Theory - Stanford Online

• Game Theory 101 video course - Spaniel

Logic

• Logic & Proofs - Carnegie-Mellon OLI

• Logic I - MIT OCW

• Intro Logic and Critical Thinking (text) - Van Cleave, OTL

Systems Thinking

• Systems Thinking Books - Goodreads

• Intro Systems Thinking - UN ESCAP (PDF)

• Introduction to Industrial Engineering by Bonnie Boardman, U Texas at Arlington

Calculus & Differential Equations

Calculus Made Easy - An elegant introduction

Coursera Calculus courses

edX Calculus courses

MIT Calculus courses - MIT OCW

Diffy Qs: Differential Equations for Engineers - Jiří Lebl (textbook)

Differential Equations: An Introduction for Engineers - Matthew Charley (textbook)

Differential Equations - U Toronto (PDF)

You need not be an expert at solving DEs to work productively in cyber systems analysis. SD simulation software do that automatically with built-in numerical algorithms. But you should know what the DE means and does in the model. The same holds true for other technical details, such as random number generation and statistical measures, in different modeling and simulation paradigms. The conceptual ideas must be well understood; the computational aspects are best delegated to the modeling platform.

Thought of the day: Investing your time in becoming conversant with cybernetic system analysis methods is far superior to wasting it watching TV.

Cyber systems analysts think much better than non-analysts and are excellent at multi-factor problem solving, enterprise or institutional policy design, and strategic decision making. They are skilled in transforming conceptual insights into effective operational solutions.

Cyberneticians were key to the rise of cognitive science as a modern scientific discipline. They were pivotal in overcoming resistance to new ideas in psychiatry and psychology, especially in doctrinaire behaviorism.

Traditional fields of inquiry are often biased by conceiving problems and proposed solutions solely from their disciplinary perspective. This can turn out to be a hindrance. Cyber systems analysis is trans-disciplinary and eclectic. As such it tends to be more open in recognizing issues and ascertaining workable solutions to complex real-world problems.

If you want to change the world without waiting forever for change to happen, consider using cybernetic systems analysis. Effective results. Efficient and functional. Less prone to risk yet significantly more cost effective than traditional organizational reform approaches.

[hydralisk98]

Content data to study

Tcl, Fish, KDE Plasma 5.27+, RC, ES, RIO, ACME, Kwin, Liquidshell, Plasmoids, OpenDylan, SimH PDP8, ChrysaLisp, ZealOS' DolDocs, Haiku, NetBSD, Plan9, Smalltalk, Steel Bank Common Lisp, Common Lisp Object System, NetLogo, TROPIX, PhantomOS, ITS, CP/M, DOS, Unix v6-v7, Oberron A2 Bluebottle, ObjectREXX, DEC Alpha, GNU Hurd, MINIX3, Tcl alone, TclX, Tcl/Tk, PAL for PDP8, DIBOL, Synergy DBL, GAS, SVG, TextWorld, AROS, TakeCommandConsole, Krita with G'MIC, Blender, Inkscape, Falkon, Konqueror, LibreWolf, Lemon, Tlick, nsCDE, Turbochannel / Alpha AXP, GRUB, Paradise, Parade, Uxn, Tmux, OpenSSH, POSIX, Hypervisor, KVM, OpenBSD Sandbox / Jails, Git, GNU Bazaar, UTF-8, Microdot Linux, BeagleV-Fire, BeagleboneY-AI, DECmate II+, DECmate III with its dedicated disk drive unit, DEC Alpha, DUNNET, Emacs, Vim, Vi, VimWiki, Org-Mode, Zork, A Mind Forever Voyaging, Evennia, LambdaMOO, , Rust, ALGOL68, Grulx, Frotz, Z-Machine, Dolphin, Midnight Commander, GNU Taler, GDB, BinUtils, Autotools, Coreutils, Linux-libre, GNU Jami, GNUnet, MediaGoblin, Goblin Tools, LilyPond;

Super Cluedo, Die Macher, Century Spice Road, Century A New World, Carcasonne, Werewolves Pact Edition, Talespinner EU, D&D 5E, Pathfinder 2E, Cyberpunk RED, GilaRPGs' NOVA, Mark Rosenfelder, Ken Silverman, Nicky Case, Yukari Hafner, Prosperity ruleset for Landlords Game, Diplomacy, HAM Radio, RTTY, Hard-Copy terminals, interactive video terminals / lightweight clients, tabulators, typewriters, unit record equipment, cardboard counters, printing presses, phonebooks, yellow pages, pen & paper games, gamebooks, zines, atlases, road maps...