A computational framework for concept formation for a situated design agent

Representational affordances in design, with examples from analogy making and optimization

“…It includes the role of subjective, individual experience in constructing new concepts that are tailored to the agent's current situation (Dewey 1896;Bartlett 1932;Rosenfield 1988;Clancey 1997). Constructive memory can be modelled using the idea of intertwined data-push and expectation-pull (Gero and Fujii 2000), which is denoted in Figure 2 using a combined straight-andreturning arrow symbol. , representing constraints given from an external source (for example, a design project manager).…”

Concept Formation in Scientific Knowledge Discovery from a Constructivist View

“…The "push" process is a data-driven process where changes in the environment (or autogenous variables of the agent) trigger the transformation of these changes into changes in the experience [43]; 7. The "pull" process is an anticipation-driven process where if the process for validating a proto-concept (or a hypothesis) requires the agent to obtain a particular pattern of information from the environment, then the process is biased in the way that external variables (or autogenous variables of the agent) are filtered out or emphasized [43]; 8. The validation process compares the prediction with the pulled data to determine the validity of a proto-concept.…”

Concept Formation in a Design Optimization Tool

“…We use the idea that learning a concept inherently involves understanding its influence on its environment. We believe that in the dynamic activity of designing, concepts that incrementally capture the knowledge of a design process are formed as a consequence of "situatedness" (Gero and Fujii, 2000). Interactions in designing play critical roles in shaping the design practice in which new design experiences can be learned.…”

“…In this way, a newly developed experience ( ) can be subsequently used to create a newer memory ( ) which in turn grounds itself into another new experience ( ). An agent constructs its memories through its internal representation processes triggered both from external "data-driven" and goal-related "expectation-driven" demands (Gero and Fujii, 2000). A "datadriven" process is triggered by environment changes (i.e.…”