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This paper illustrates the use of Functional Mockup Interface (FMI) [1] to couple an occupant behaviour simulator and a building model. Due to their intrinsic nature, occupant behaviour and building and its energy systems are usually represented by different modelling paradigms. The occupant behaviour is here described by Agent-Based Modelling (ABM) whereas the building is described by a set of hybrid and differential algebraic equations, typical of dynamic thermal modelling. Such different complex systems cannot be efficiently simulated in a single tool. Therefore, one solution is the tool coupling approach. The FMI standard for co-simulation was used to couple the SMACH occupant behaviour simulator and a building energy model built with the BuildSysPro Modelica library. Variables of interest are passed from one model to another at fixed synchronization time steps.

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OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 18865The contribution was presented at ABSTRACTRecently the key role of emotions in decision-making process has been highlighted. In this article, we focus on fear-related emotions and their positive impact on the survival capabilities of human beings in case of crisis situation. The purpose of this paper is to clarify the impact of emotion on agents in the evacuation process; we only focus here on emotions and not on the evacuation process itself. We formalize the influence of three factors (decay, environment, contagion) on agents emotion and explore the influence of each of them. The emotion intensity of agents will be tested in case of moving or without moving. We will make some experiments to estimate the impact of three coefficients of decay, environment, contagion on the emotion intensity of groups such as max, min, mean and standard deviation value. The entire theoretical model has been implemented in the GAMA simulation platform.

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In this paper we introduce the ODD protocol, proposed in ecology for easing the communication and replication of Individual Based Models (IBM). First, we use it to describe a realistic model in epidemiology, which deals with the local determinants of the propagation of the H5N1 virus. From this description we first point out the advantages of ODD. Then we focus on its weaknesses, the major ones being its ambiguity and its inability to attain replication. Finally, we propose several improvements for this protocol in terms of reorganization , better specifications (adapted from existing software engineering methodologies) and the addition of a section dedicated to experimentations.