Agent Based Models & Cellular Automata — Hands-on

Learn how to design and simulate agent based models (ABMs) and cellular automata (CA) for biological systems. This module covers core concepts, state rules, interaction mechanisms and simple numerical implementations to study emergent behavior in tissues, tumors, infections and ecological systems.

Agent Based Models & Cellular Automata

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Session Index

Session 1 — ABM Concepts & Building Blocks Session 2 — Cellular Automata & Lattice Dynamics Session 3 — Biological Applications of ABM & CA Session 4 — Mini Capstone: Design a Simple ABM

Session 1

Fee: Rs 8800

ABM Concepts & Building Blocks

What is an agent based model in biology

agents vs populations states and behaviors emergent phenomena concept

Core components of an ABM

state variables and rules environment and neighborhoods time stepping and updates

Simple example ABMs on grids and graphs

random walk agents birth death rules resource limited growth sketches

Session 2

Fee: Rs 11800

Cellular Automata & Lattice Dynamics

Cellular automata basics

lattices and neighborhoods update rules and synchrony simple rule examples

From CA rules to pattern formation

fronts and waves patches and clusters oscillations and chaos intuition

Connecting CA and ABM views

cell as site vs cell as agent hybrid rules and updates moving between formalisms

Session 3

Fee: Rs 14800

Biological Applications of ABM & CA

Tissues, tumors and wound healing sketches

cell proliferation and death rules contact inhibition ideas front advancement and gaps

Infection spread and host pathogen dynamics (concepts)

susceptible infected recovered states local transmission rules interventions as rule changes

Ecological and microbiome style ABMs (overview)

competition and cooperation resource and niche views linking to community level metrics

Session 4

Fee: Rs 18800

Mini Capstone: Design a Simple ABM

Choose a small biological question suitable for ABM or CA

theory plus guided practical

Specify agents, environment and rules, then simulate scenarios

state diagrams and rule tables simple code or pseudocode baseline vs perturbed runs

Deliverables: notebook, rule sheet and short summary

Python or R notebook (or pseudo) rules and parameter table PDF or HTML explanation

PDF

Agent Based Models and Cellular Automata Training | Emergent Dynamics in Biological Systems

Agent Based Models & Cellular Automata — Hands-on