In this architecture, the behaviors of domain concepts and objects are captured entirely by ontological entities, around which all data management tasks are carried out.
We think that the system provides a potentially valuable tool to support design and decision-making processes, related to user behavior in architecture and urban planning.
In this work we propose a CBR based learning methodology to build a set of nested behaviors in a bottom up architecture.
Human behavior, in this case, baffled him.
In this field, architecture audiences are taught with the main architecture aspects such as human behavior and activities.
Various behaviors in the fuzzy behavior-based architecture are evolved by genetic algorithm (GA).
For a third, a Science and Technology Studies perspective (Gieryn 2002) investigates how architecture primarily in its optimization focus, qua engineered technology—shapes knowledge formation (for example, in laboratory or university design) and organizes social behavior (for example, in architecture for tourism or retail sales).
Although there is a heritable basis for many animal behaviors, the genetic architecture of behavioral variation in natural populations remains mostly unknown, particularly in vertebrates.
Defining this architecture in vivo presents a major challenge.
In this scenario, architecture is argued as a human extended phenotype 20,34,34a with the understanding that technology represented, for example, by AI and sensors, is approaching a point to be matched or bypassed for use in experimental technology and architecture by animate, sense-making organisms currently researched and theorized via plant intelligence, signaling, and behavior.
