computer science

Repast (modeling toolkit)

Repast (modeling toolkit) is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Repast (modeling toolkit) rather than just read about it. In short: The Recursive Porous Agent Simulation Toolkit (Repast) is a widely used free and open-source, cross-platform, agent-based modeling and simulation toolkit. Repast has multiple implementations in several languages (North, Collier & Vos 2006) and built-in adaptive features, such as genetic algorithms and regression.

Key takeaways

Repast (modeling toolkit) belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Repast (modeling toolkit) to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Repast (modeling toolkit) from memory before moving on to harder problems.

Reference excerpt

The Recursive Porous Agent Simulation Toolkit (Repast) is a widely used free and open-source, cross-platform, agent-based modeling and simulation toolkit. Repast has multiple implementations in several languages (North, Collier & Vos 2006) and built-in adaptive features, such as genetic algorithms and regression. Repast was originally developed by David Sallach, Nick Collier, Tom Howe, Michael North and others at the University of Chicago.

Features variety of agents and examples fully object oriented fully concurrent discrete event scheduler built-in simulation results logging and graphing tools (North et al. 2007) allows users to dynamically access and modify agents and model at run time libraries for genetic algorithms, neural networks, etc. built-in systems dynamics modeling social network modeling tools integrated geographical information systems (GIS) support implemented in Java, C#, etc. supports Java, C#, Managed C++, Visual Basic.Net, Managed Lisp, Managed Prolog, and Python scripting, etc. is available on virtually all modern computing platforms

See also Agent-based social simulation NetLogo Sugarscape Swarm

References "Agent'97 Repast", agent2002.anl.gov. North, M.J.; Collier, N.T.; Vos, J.R. (2006), "Experiences Creating Three Implementations of the Repast Agent Modeling Toolkit", ACM Transactions on Modeling and Computer Simulation, 16 (1): 1–25, CiteSeerX 10.1.1.331.2313, doi:10.1145/1122012.1122013, S2CID 14249726 {{citation}}: Cite uses deprecated parameter |citeseerx= (help) North, M.J.; Tatara, E.; Collier, N.T.; Ozik, J. (2007), "Visual Agent-based Model Development with Repast Simphony" (PDF), Proceedings of the Agent 2007 Conference on Complex Interaction and Social Emergence, Argonne National Laboratory, Argonne, IL USA Barnes, D.J.; Chu, D. (2010), Introduction to Modelling for Biosciences, Springer Verlag

External links Repast homepage Repast Self-Study Guide

Worked examples

Example 1 — a first encounter with Repast (modeling toolkit)

Start with the simplest possible case. Write down what Repast (modeling toolkit) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Repast (modeling toolkit) before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Repast (modeling toolkit) ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Repast (modeling toolkit)

In research: Repast (modeling toolkit) appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Repast (modeling toolkit) in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Repast (modeling toolkit) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Agent-based software, so understanding it makes those chapters shorter.
In everyday life: Look for Repast (modeling toolkit) outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Repast (modeling toolkit) in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Repast (modeling toolkit) means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Repast (modeling toolkit) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Repast (modeling toolkit) in simple terms?

Why does Repast (modeling toolkit) matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Repast (modeling toolkit)?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Repast (modeling toolkit).