Konstantinos Manousakis, Panayiotis Kolios and Georgios Ellinas (June 21st 2017). Multi-Period Attack-Aware Optical Network Planning under Demand Uncertainty, Optical Fiber and Wireless Communications, Rastislav Roka, IntechOpen, DOI: 10.5772/intechopen.68491.

Lu Heng, Fu Xiao, Liu Chao, Li Longguo, Li Naiwen and Ma Lei (June 27th 2018). Land Use Information Quick Mapping Based on UAV Low- Altitude Remote Sensing Technology and Transfer Learning, Drones - Applications, George Dekoulis, IntechOpen, DOI: 10.5772/intechopen.74475. 

Yi-Ting Tsao, Ke-Ting Xiao, Von-Wun Soo and Chung-Cheng Chiu (June 1st 2010). Graph Laplacian Based Transfer Learning Methods in Reinforcement Learning, Autonomous Agents, Vedran Kordic, IntechOpen, DOI: 10.5772/9654. 

New Zealand

AAMAS 2020

Playing Games in the Dark: An approach for cross-modality transfer in reinforcements learning

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). 

The purpose of the International Conference on Computer-Human Interaction Research and Applications (CHIRA) is to bring together professionals, academics and students who are interested in the advancement of research and practical applications of interaction design & human-computer interaction. Five parallel tracks will be held, covering different aspects of Computer-Human Interaction, including Interaction Design, Human Factors, Entertainment, Cognition, Perception, User-Friendly Software and Systems, Pervasive Technologies and Interactive Devices.


CHIRA 2019

The purpose of the International Conference on Computer-Human Interaction Research and Applications (CHIRA) is to bring together professionals, academics and students who are interested in the advancement of research and practical applications of interaction design & human-computer interaction. 

technical paper

Rationals vs Byzantine Players in Committee-Based Blockchains

MGpi: A Computational Model of Multiagent Group Perception and Interaction

Explainable Multi Agent Path Finding

On Algorithmic Decision Procedures in Emergency Response Systems in Smart and Connected Communities

Increasing Evacuation During Disaster Events

Learning to Incentivize Other Learning Agents

An Automated Tool for Visualizing Large-Scale Online Discussions

Exploiting Simulation For Mass Programming and Engineering - The JaCaMo-SIM Platform

Learning Correlation Functions on Mixed Data Sequences for Computer Architecture Applications

Complementing Agents with Cognitive Services: a case study in Healthcare

Playing Games in the Dark: An approach for cross-modality transfer in reinforcements learning

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Rationals vs Byzantine Players in Committee-Based Blockchains

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