Technologies / Artificial Intelligence

Agent-based modeling using (ABMS)

Advanced training in agent-based modeling (ABMS) that guides participants through the process of creating complex simulations of multi-agent systems. The program integrates agent modeling theory with the practical use of simulation tools, enabling participants to understand and implement advanced behavioral models. The training uses a project-based methodology, where participants gradually build increasingly complex models, learning through hands-on experience.

Issues

Theory of multi-agent systems
Designing agent behavior
Inter-agent interaction algorithms
Validation of simulation models
Parameter calibration
Analysis of simulation results
Decision-making systems of agents
Environmental modeling
Optimization of models
Verification of simulations
Practical applications of ABMS
Agent modeling tools

Benefits

The participant will develop advanced skills in the design and implementation of multi-agent systems
He or she will gain an in-depth understanding of the theory and practice of agent-based modeling to create complex simulations
Will learn to implement advanced agent interaction mechanisms and decision-making systems
Will learn methods for validating and calibrating agent models to ensure the reliability of simulations
Will master techniques for analyzing and interpreting multi-agent modeling results
Will develop the ability to apply ABMS in practical business and scientific applications

Who is this training for?

Scientists and researchers involved in modeling complex systems

Data analysts specializing in computer simulations

Artificial intelligence and machine learning specialists

Multi-agent systems developers

Business process modeling experts

Systems engineers involved in simulations

Predictive solution designers

Prerequisites

Knowledge of the basics of object-oriented programming
Understand the concept of systems modeling
Basic knowledge of statistics
Experience in data analysis

Training program

Designing agent behavior
Interactions between agents
Modeling the simulation environment
Implementation of ABMS models

Algorithms of agent behavior
Mechanisms of inter-agent communication
Rule-based and decision-making systems
Analysis and validation of models

Calibration of simulation parameters
Model sensitivity analysis
Interpretation of simulation results

Modeling social processes
Simulations of economic systems
Business process optimization
Prediction of behavior of complex systems

Delivery Methods

Online

Convenience of participating from anywhere
Interactive live sessions with trainer
Materials available for 30 days
No travel costs

On-site

Direct contact with trainer and group
Intensive hands-on workshops
Networking with other participants
Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

For Agent-based modeling using (ABMS) we recommend: Knowledge of the basics of object-oriented programming; Understand the concept of systems modeling; Basic knowledge of statistics.

What is the format and duration of this training?

The training lasts 4 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Scientists and researchers involved in modeling complex systems; Data analysts specializing in computer simulations; Artificial intelligence and machine learning specialists.