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MBL 602 - Decision Support Systems in Architectural Design

Course Objectives

1. To be informed about the use of artificial intelligence and decision support systems in the areas of complex problems in architectural design;
2. To be informed about decision making strategies according to dynamic changes in the parameters of design problems;
3. To be able to use and develop systems that have a knowledge repository and ability of expert decision making;
To be informed about different application areas of multi-agent systems that can help the architect in the architectural design process.

Course Description

Artificial intelligence and application areas; Artificial intelligence in architecture; Expert systems; Decision support systems and examples of its usage in architecture; Agents and agent definition, properties, agent environment; Types of agents; multi-agent decision support systems; Communication in multi-agent systems, message types, communication levels; Communication protocols; Coordination between agents; Learning systems in agent systems; Agents and experience; rule-based behavior; Constructive memory system, agent societies, communication, society, group impact; Self-organization; Models of multi-agent decision support systems in architectural design; Agent development tools and platforms.

Course Coordinator
Gülen Çağdaş
Gülce Kırdar Bakraç
Course Language
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