AtomicOrchid: Human-Agent Collectives to the Rescue (Demonstration)

HAC-ER: A Disaster Response System based on Human-Agent Collectives (Demonstration)

An Affective Agent for Studying Composite Emotions (Demonstration)

Using an affective agent to estimate humans’ composite emotions is important for creating believable interactions in human-agent collectives. However, there is a lack of suitable platforms for building large scale datasets on this topic to help researchers improve the accuracy of estimations. In this paper, we design and implement an affective agent, which uses explicit emotion appraisals and a...

A multi-agent game for studying human decision-making

Understanding how human beings delegate tasks to trustees when presented with reputation information is important for building trust models for human-agent collectives. However, there is a lack of suitable platforms for building large scale datasets on this topic. We describe a demonstration of a multi-agent game for training students in the practice of Agile software engineering. Through inter...

A Decentralised Multi-Agent System for Emergency Resource Allocation in Metropolitan Regions: (Demonstration)

Nowadays, emergency departments in many countries still rely on human operators to allocate rescue resources to emergency events. However, with the fast growth of population in metropolitan regions, the frequency of occurrence of emergency events has risen significantly, which imposes tremendous pressure over emergency event operators. Agent and multi-agent systems (MASs) provide potential solu...

RMASBench: a Benchmarking System for Multi-Agent Coordination in Urban Search and Rescue (Demonstration)

This demonstration paper illustrates RMASBench, a new benchmarking system based on the RoboCup Rescue Agent simulator. The aim of the system is to facilitate benchmarking of coordination approaches in controlled settings for dynamic rescue scenarios. In particular, the key features of the systems are: i) programming interfaces to plug-in coordination algorithms without the need for implementing...