CROWD SIMULATION INFLUENCED BY AGENT'S SOCIO-PSYCHOLOGICAL STATE

Proceedings of the Artificial Life Conference 2016, 2016

One of the key components of the suspension of disbelief in real-time 3D simulations is the apparent authenticity of actions and gestures played by the individuals of the virtual population. This paper addresses this aspect of simulation, by investigating ways to improve the behavioral realism of virtual humanoid characters in groups and small multitudes. We look at the framework of ALife, identifying and analyzing existing bio-mimicking techniques that can be used in this context and contribute towards the improvement of the plausibility from the generated simulations. By looking at the literature, we identify some of the key elements from ALife that are being progressively incorporated in the simulations of groups and crowds. Then, we discuss a generative model for spontaneity and heterogeneity where bio-inspired agents are individualized with DNA-like strings and appear organized hierarchically exchanging token units of energy, mass, and resources. The result is a generative population of agents that self-organize and interact autonomously, exhibiting interesting social dynamics based on biological tenets and an economy of resources. We analyze this simulation quantitatively with the purpose of studying the impact of each of the previously identified techniques. Figure 1: Global view of the environment of the experimental setting created for this paper.

Indonesian Journal of Electrical Engineering and Computer Science, 2018

Crowd simulations have many benefits over real-life research such as in computer games, architecture and entertainment. One of the key elements in this study is to include elements of decision-making into the crowd. The aim of this simulator is to simulate the features of an intelligent agent to escape from crowded environments especially in one-way corridor, two-way corridor and four-way intersection. The addition of the graphical user interface enables intuitive and fast handling in all settings and features of the Intelligent Agent Simulator and allows convenient research in the field of intelligent behaviour in massive crowd. This paper describes the development of a simulator by using the Open Graphics Library (OpenGL), starting from the production of training data, the simulation process, until the simulation results. The Social Force Model (SFM) is used to generate the motion of agents and the Support Vector Machine (SVM) is used to predict the next step for intelligent agent.

2000

In this paper, we summarize three key issues in complex behaviours. First, we discuss how to improve the interaction between a Virtual human and finctional objects like a lift, a door or a traffic light. Then, we discuss how autonomous Virtual Humans can react to the user in an Immersive Virtual Environment. Finally, we survey the modelling of social behaviours for groups and crowds. Interaction with objects This paper summarizes recent experiences and case studies to model behaviors of Virtual Humans in three typical situations: interaction with complex objects, interaction with the user in immersive environments, and social behaviors in crowds.

HAL (Le Centre pour la Communication Scientifique Directe), 2012

This paper presents a new approach to model crowd behaviour in normal and risky situations. Our model is based on human cognitive characteristics specially personality type, perception and emotion that we assume relevant to individuals' behavioural decisions. The model supports an efficient interaction between the different architecture components to provide behaviour. A formal definition of cognitive characteristics will be given with a description of its use on the model.We demonstrate in this paper the ability of our model to provide emergent behaviour simulating realistic reactions within a crowd based on each individual's attributes and environmental changes.

Journal of Telecommunication, Electronic and Computer Engineering, 2016

In recent years, modeling and simulation technologies have been gaining tremendous momentum in investigating crowd dynamics. Various simulation architectures have been developed and virtual environment representations have also been constructed for crowd simulations. To represent the behavior of a crowd, a number of behavior models have been proposed with different types of modeling approaches, such as flow-based models and agent-based models. Crowd models may also concern different aspects of a crowd. In modeling stress response, a method based on well-established theory of Generalized Adaptation Syndrome (GAS) has been developed to simulate the dynamic behavior of the crowd. However, there is still lacking of method to address the way virtual agent interacts with the instant changing behavior of the crowd during stressful events. This study were review current work on modelling stress and stress behavior models and extends it into the area of crowd simulation to simulate the behav...

… and Virtual Worlds, 2008

2010

Realism is thriving today in many types of media, particularly in video games, where the polygon count continues growing up. However, this realism pushes up the necessity of a real behavior of the virtual actors, in order to follow the credibility of the characters. We presented an approach for the simulation of crowds that works adaptively to the situations that happen in the virtual atmosphere. Our approach allows that a realistic character, adapt his behavior and actions with the information noticed from the atmosphere which it is close to. For this work, the execution atmosphere will be a simulation of a real catastrophic atmosphere, such as as flooding and collapses.

2014

This paper aims to synthesis existing research efforts to provide an integrated view of behavioral model designs and relevant theoretical frameworks of heterogeneous agents for crowd simulations. Most existing studies considered only limited parameters by including a few selected personalities traits, emotion, and group characteristics for specific scenarios and applications. Most often, these factors are implemented with limited reference to theoretical psychology and cognitive models. This study attempts to synthesis existing research effort and outlines opportunities, challenges, and promising areas for future research for integrating psychological and socio-psychological factors in crowd behavior simulations.

Lecture Notes in Electrical Engineering, 2010

Crowds must be simulated believable in terms of their appearance and behavior to improve a virtual environment's realism. Due to the complex nature of human behavior, realistic behavior of agents in crowd simulations is still a challenging problem. In this paper, we propose a novel behavioral model which builds analytical maps to control agents' behavior adaptively with agent-crowd interaction formulations. We introduce information theoretical concepts to construct analytical maps automatically. Our model can be integrated into crowd simulators and enhance their behavioral complexity. We made comparative analyses of the presented behavior model with measured crowd data and two agent-based crowd simulators.