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A Multi-Agent System for Visualization Simulated User Behaviour. B. de Vries, J. Dijkstra. Agenda. VR-DIS research programme: B. de Vries AI for visualization of human behavior: J. Dijkstra. VR Technology in (Architectural) Design. Traditional process and use Envisioned process and use.
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B. de Vries, J. Dijkstra
VR-DIS research programme:
B. de Vries
AI for visualization of human behavior:
Architects and urban planners are often faced with the problem to assess how their design or planning decisions will affect the behavior of individuals.
A Multi-Agent System based on Cellular Automata
Cellular automata are discrete dynamical systems whose behavior is completely specified in terms of a local relation
Cellular automata are characterized by the following features:
Agents are computational systems that inhibit some complex dynamic environment, sense and act autonomously in this environment, and by doing so realize a set of goals or tasks for which they are designed (Maes).
An autonomous agent is a system situated within and part of an environment that senses that environment and acts on it, over time, in pursuit of its own agenda (Franklin & Graesser).
- agents have some control over their actions and internal state
- agents interact with other agents
- agents perceive their environment and respond to changes in it
- agents exhibit goal-directed behavior by acting on their own initiative
- knowledge, belief, intention, emotion
Offers the promise of simulating autonomous agents and the interaction between them.
behaviors evolve dynamically during the simulation
Multi Agent Simulation Models
The network is the three-dimensional cellular automata model representation of a state at a certain time.
Define an user-agent as: U = < R | S >, where:
Initially, we will realize different graphic representations of our simulation:
Design of a simulation experiment of pedestrian movement.
Considering a T-junction walkway where pedestrians will be randomly created at one of the entrances.
Some impressions ...
Complex behavior can be simulated by using the concept of cellular automata in the context of multi-agent technology.