Héctor Soza (November 5th 2018). Quality Measures for Agent-Oriented Software, Multi-Agent Systems - Control Spectrum, Vladimir Shikhin, IntechOpen, DOI: 10.5772/intechopen.79741. 

Khair Eddin Sabri, Ridha Khedri and Jason Jaskolka (October 1st 2009). Algebraic Model for Agent Explicit Knowledge in Multi-agent Systems, Advanced Technologies, Kankesu Jayanthakumaran, IntechOpen, DOI: 10.5772/8211.

Daniel Dunea (October 31st 2018). Introductory Chapter: Plant Competition in Multiple Cropping Systems beyond Conceptual Knowledge, Plant Competition in Cropping Systems, Daniel Dunea, IntechOpen, DOI: 10.5772/intechopen.81076. 

New Zealand

We give a brief overview of the annual Multi-Agent Programming Contest (MAPC). In this competition, we try to provide a set of challenging problems and encourage participants to solve these with agent-based frameworks and technologies. After introducing the MAPC, we elaborate on the latest scenario and provide some lessons we learned during and after the contest of 2019.


AAMAS 2020

Multi-Agent Programming Contest 2019

AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). The aim of the joint conference is to provide a single, high-profile, internationally-respected archival forum for scientific research in the theory and practice of autonomous agents and multi-agent systems.

Browse keynotes, discussions, panels and over 300 presentations.


AAMAS is the leading scientific conference for research in autonomous agents and multi-agent systems. The AAMAS conference series was initiated in 2002 as the merging of three respected scientific meetings: the International Conference on Multi-Agent Systems (ICMAS), the International Workshop on Agent Theories, Architectures, and Languages (ATAL), and the International Conference on Autonomous Agents (AA). 

technical paper

Value targets in off-policy AlphaZero: a new greedy backup

Trajectory Modelling in Shared Spaces: Expert-Based vs. Deep Learning Approach?

A Cooperative Approach Based on Local Detection of Similarities and Discontinuities for Brain MR Images Segmentation

Adaptivity in distributed agent-based simulation

Computationally Grounded Quantitative Trust with Time

Optimization of Large-scale Agent-based Simulations through Automated Abstraction and Simplification

Towards Agent-Based Traffic Simulation Using Live Data from Sensors for Smart Cities

Teaching Multiple Learning Agents by Environment-Dynamics Tweaks

Norm violation identification in online communities : A study of Stack Overflow comments

A Demonstration of Issues with Value-Based Multiobjective Reinforcement Learning Under Stochastic State Transitions

Multi-Agent Programming Contest 2019

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Value targets in off-policy AlphaZero: a new greedy backup

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