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Evacuation simulation through formal emotional agent based modelling
- In Proceedings of the 6th International Conference on Agents and Artificial Intelligence (ICAART 2014
, 2014
"... Abstract: Evacuation Simulation is recognised as an important tool for assessing design choices for urban areas. Al-though a number of approaches have been introduced, it is widely acceptable that such simulation scenarios demand modelling of emotional aspects of evacuees, and how these affect their ..."
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Cited by 5 (4 self)
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Abstract: Evacuation Simulation is recognised as an important tool for assessing design choices for urban areas. Al-though a number of approaches have been introduced, it is widely acceptable that such simulation scenarios demand modelling of emotional aspects of evacuees, and how these affect their behaviour. The present work, proposes that formal agent modelling based on eX-machines can rigorously define but also naturally lead to realistic simulations of such scenarios. eX-machines can model agent behaviour influenced by emotions, in-cluding social aspects of emotions, such as emotion contagion. The developed formal model is refined to simulation code, that is able to visualise and simulate crowd believable behaviour. 1
Calibration of Multi-Agent Simulations through a Participatory Experiment
"... ABSTRACT In the context of agent-based simulation, a major issue is to define relevant parameters of the agent model and calibrate them. In this paper, we propose to log and analyse agents behaviours to evaluate their similarity to humans behaviours in an immersive virtual environment. The behaviou ..."
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ABSTRACT In the context of agent-based simulation, a major issue is to define relevant parameters of the agent model and calibrate them. In this paper, we propose to log and analyse agents behaviours to evaluate their similarity to humans behaviours in an immersive virtual environment. The behaviour archetypes are studied in terms of cluster members in order to identify agent missing behaviours, capacities and errors. This study enables to (1) dismiss invalid parameter sets, (2) calibrate valid simulations and (3) explain lacks in the agent models for further improvement.
Biological and Computational Perspectives on the Emergence of Social Phenomena: Shared Understanding and Collective Power 1
"... Abstract. Shared understanding and collective power are social phenomena that serve as a form of glue between individual persons. They easily emerge and often involve both cognitive and affective aspects. As the behaviour of each person is based on complex internal mental processes involving, for ex ..."
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Abstract. Shared understanding and collective power are social phenomena that serve as a form of glue between individual persons. They easily emerge and often involve both cognitive and affective aspects. As the behaviour of each person is based on complex internal mental processes involving, for example, own goals, emotions and beliefs, it would be expected that such sharedness and collectiveness is very hard to achieve. Apparently, specific mechanisms are required to tune the individual mental processes to each other in order to enable the emergence of shared mental states and collective behaviour. Having knowledge about these mechanisms in a biological context provides a basis to modelling corresponding mechanisms in a compuational setting. From a biological perspective, mirror neurons and internal simulation are core concepts to explain the mechanisms underlying such social phenomena. In this paper it is discussed how based on such neurological concepts computational mechanisms can be identified to obtain human-like social agent models. It is discussed how these social agent models indeed are an adequate basis for the emergence of shared understanding and collective power in groups of agents. 1
From Mirroring to the Emergence of Shared Understanding and Collective Power
"... Abstract. Mirror neurons and internal simulation are core concepts in the new discipline Social Neuroscience. In this paper it is discussed how such neurological concepts can be used to obtain social agent models. It is shown how these agent models can be used to obtain emergence of shared understan ..."
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Abstract. Mirror neurons and internal simulation are core concepts in the new discipline Social Neuroscience. In this paper it is discussed how such neurological concepts can be used to obtain social agent models. It is shown how these agent models can be used to obtain emergence of shared understanding and collective power of groups of agents, both in a cognitive and affective sense. 1
Dynamiques émotionnelles d’une population d’agents incarnés
"... ABSTRACT. Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. In this context, computational mod-elling of emotion is a major challenge in order to design believable virtual humans. The phe-nomenon of emotional c ..."
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ABSTRACT. Affective computing is the study and development of systems and devices that can recognize, interpret, process, and simulate human affects. In this context, computational mod-elling of emotion is a major challenge in order to design believable virtual humans. The phe-nomenon of emotional contagion plays a role in individual and collective behaviour (emergence of groups). In this article, we propose the MA/SDEC (Mixed Agent/Social Dynamics for Emotion Com-putation) architecture in order to manage the set of emotional dynamics. Emotions evolve in function of three influences: punctual events, temporal dynamics and external influences. In an embodied agent approach, the first is the responsibility of the agent’s mind, the second of the agent’s body, and the third of the environment. We show how contagion can be calculated when social relations between agents are unknown. Several experiments allow us to validate the model, analyze its properties, calibrate its parameters and evaluate its performance. RÉSUMÉ. L’informatique affective est l’étude et le développement de systèmes qui peuvent recon-naître, interpréter, traiter et simuler des émotions humaines. Dans ce contexte, la modélisation computationnelle des émotions est un défi important permettant de créer des humains virtuels
South-East European
"... Multi-agent systems simulation is used to predict human be-haviour in emergency evacuation cases. However, as human behaviour can change under the effect of emotions, it is es-sential to create models of artificial agents and simulations that mimic such behaviour in order to make prediction of the o ..."
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Multi-agent systems simulation is used to predict human be-haviour in emergency evacuation cases. However, as human behaviour can change under the effect of emotions, it is es-sential to create models of artificial agents and simulations that mimic such behaviour in order to make prediction of the overall system performance. In emotional agents, the role of emotional contagion is important. Emotional conta-gion is a result of interaction between agents which could affect each others emotions. It is the case that in emergency situations, emotions (especially calmness, fear and panic) may propagate in various ways, depending on the agents personality type as well as other factors. In this paper, we review various methods of emotional contagion. In order to develop emotional agent simulation, we start from a for-mal state-based modelling method and devise a number of variations of known emotional contagion methods. NetLogo visual simulation is used, in which a number of experiments is conducted. The results are useful to demonstrate differ-ent behaviour of different emotional contagion models in the evacuation of an open square area.
