RECENT RESEARCH

DESIGN OF PRODUCTS WITH HIGH-EMOTIONAL VALUE
UNIFICATION OF STYLISTIC FORM AND FUNCTION
FINDING DESIGN ANALOGIES
DESIGN TEAM CONVERGENCE
PROBLEM SOLVING PERFORMANCE
OPTIMIZATION FOR RENEWABLE ENERGY
NEURO MAPPING AND UTILITY THEORY FOR DECISION MAKING
MULTI-SCALE BIOLOGY BASED DESIGN
CONSUMER PREFERENCE MODELING

 

 

PAST RESEARCH

COMBINATORY ADAPTIVE OPTIMIZATION WITH MULTI-AGENT SYSTEMS
QUANTIFYING AESTHETIC FORM PREFERENCE AND DESIGN GENERATION
DESIGN & ORGANIZATION
CREATING CULTURAL IDENTITIES
DESIGN LANGUAGES IN CULTURAL SYSTEMS
INTELLIGENT 3D SYSTEMS
HARLEY SHAPE GRAMMAR
MEMS
A-DESIGN
COFFEE MAKER GRAMMAR
DISCRETE STRUCTURES
 

 

 

 

 

A-DESIGN - AGENT BASED ADAPTIVE CONCEPTUAL DESIGN

INTRODUCTION | ITERATIVE SEARCH PROCESS | MULTIOBJECT DESIGN SELECTION | MULTI AGENT ARCHITECTURE | FUNCTIONAL REPRESENTATION | A DESIGN AS SEARCH STRATEGY | TEST RESULTS | DISCUSSION AND CONCLUDING REMARKS

INTRODUCTION

A-Design is a new design generation method builds on innovations from artificial life, stochastic optimization, multi-objective optimization, qualitative physics, asynchronous teams, and human cognition.

The current focus of A-Design is on electro-mechanical conceptual design.
The implemented system differs from previous work in that:
- designs are not only generated but iteratively improved upon to meet objectives specified by a designer
- synthesis of designs is performed within a rich descriptive representation of components and configurations that models real-world component interactions
- key design alternatives are retained to allow the system the flexibility to adjust to changes in the problem description made by the designer throughout the design process.

The best way to understand A-Design is to examine the four basic subsystems of the process:
- the multi-agent system of creating design alternatives
- the functional representations for electro-mechanical designs
- the multi-objective design selection method
- and the iterative search process








 

© 2013 Jonathan Cagan, Carnegie Mellon