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An adaptive multi-agent system for achitectural sketch interpretation

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Academic year: 2021

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Input

sketch processingPre- Workspace

Output model Workspace update Activation update Primitive objects Coderack update Selection Knowledge agents Update notifications Coderack update Coderack (Processing agents)

An Adaptive Multi-Agent System

for Architectural Sketch Interpretation

Jean-Noël Demaret and Pierre Leclercq LUCID, University of Liège (Be)

POSTER

Automatic interpretation of hand-drawn sketches aims to generate a model of the designer's intention. This model can be used to evaluate and simulate the building’s performance from the early stages of a design project. As a sketch contains many ambiguities, advanced strategies are needed to explore efficien-tly the interpretation space. This work proposes a new computer model to achieve more flexible and more robust sketch interpretation.

Research Project Model Features

> Multi-agent architecture

Knowledge is distributed between seve-ral agents. Agents cooperate/compete to build the interpretation.

> Shared workspace

Where hypotheses are built. It allows communication between agents.

> Adaptive behavior

It depends on what was discovered be-fore (context). More promising paths are explored faster.

The model is being implemented in the software prototype NEMo that aims to interpret architectural sketches.

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