Agent-based modeling is increasingly being used in computational epidemiology to
characterize important behavioral dimensions, such as the heterogeneity of the individual …

Recent advances in robotics and artificial intelligence have made it necessary or desired for
humans to get involved in interactions with social robots. A key factor for the human …

Modelling social phenomena in large-scale agent-based simulations has long been a
challenge due to the computational cost of incorporating agents whose behaviors are …

Across common ABM frameworks (eg, BDI, SOAR, ACT-R) errors in human perceptions are
inconsistently handled through implementation or lack thereof. Without the proper …

This paper presents a vision for a new breed of Agent-Based Simulations that are based on
the principles of the current generation web technologies. We propose a novel approach to …

Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community
Generated from Map Data Page 1 Using Agent-Based Simulator to Assess Interventions …

Simulation is a useful tool for evaluating behavioral interventions when the adoption rate
among a population is uncertain. Individual agent models are often prohibitively expensive …

Abstract In Modeling & Simulation, a model must be fit for purpose. In the case of models for
social simulations, it means that we must adequately capture the mechanisms of human …

Simulating for policy making can require modelling multiple aspects of life, realistic social
behaviour and the ability to simulate up to millions of agents. However realistic models are …