tology, a spatial and a time proximities that are related to specific scales. As example, a break and a block are closed semantically, because if a building is broken, the nearest road will be certainly blocked. Moreover, to give more precision to this confrontation, we compare the localisations and the times of observation of the two events.

If they are distant, we consider the two events are independent, and inversely.

## 5 Factual Agents Of The Representation Layer 5.1 Structure And Role

The representation layer is composed by factual agents.

![0_image_1.png](0_image_1.png)

Each agent aims to represent a partial part of the observed situation, thanks to the semantic feature that it carries. Factual agent is a reactive and proactive agent [Wooldridge, 2002]. Its reactivity is ensured by a generic internal behavioural automaton of Augmented Transition Network (ATN) type [Woods 1970]. This automaton is composed by four states [Cardon 2004]: initialisation, deliberation, decision and action. ATN Transitions are stamped by a set of conditions and a sequence of actions. Conditions represent thresholds, defined according to three internal indicators of the agent, which are: PseudoPosition (PP), PseudoSpeed (PS) and PseudoAcceleration (PA). The agent has two other indicators: a satisfaction indicator and a constancy indicator, which represent respectively the satisfaction degree of the agent about its progression and its stability in its ATN. The definition of these indicators allow the factual agent to progress in its ATN, this characteristic ensures the proactivity of the agent, of which purpose is to achieve the most important state, that is the action state. In addition, the factual agent is a social agent. It interacts with the other agents in order to form a coalition with other ones, this permits it to acquire more force and power. The agent can also be attacked by other ones, with which it is opposite semantically. The list of opposites agents and closes agents is stored in an acquaintances network, which is constructed and updated dynamically.

## 5.2 Tests And Graphic Tools

We started to make tests on a part of the ontology. We

![0_image_0.png](0_image_0.png)

localised our tests especially on the detection of the different events signalled by the RCR agents and the actions that they perform.

We have designed some graphic tools in order to follow and study the evolution of the factual agents.

The graphic tool is composed by a grid that shows in real time points flow representing factual agents. Agents are projected on three axis: PP, PS and PA. Factual agents progress extremely quickly, so it is too hard to follow their evolution. We have created therefore, an interactive interface (agent interface). This interface has two essential functionalities. The first one permits to select a given factual agent and to show all its information: its semantic feature, its current state and its current indicators values. The second one permits to freeze all the factual agents at a given time and to reanimate them thereafter. This allows us to obtain an instantaneous view of all the agents during their evolution and to study consequently, information about any agent.

Picture Figure 6 shows an instantaneous image of the current situation of the RCRSS disaster space in the eighth cycle of the simulation. Information shown in the table, in the right, are related to the blue building, that is burning. A new factual agent, carrying the semantic feature
(Phenomenon\#67068017, type, fire, intensity, starting, localisation 22989100|**3755100, time, 8), is created and**
updated according to information sent by the fire brigade agent, situated just near to the building. This factual agent is represented by the green ellipse in the grid and has as coordinates (PP=207,PS=3,PA=1). In the agent interface, we can see all information about this agent,