Design Intelligence Laboratory

From the perspective of artificial intelligence, DIL develops theories and techniques of functional modeling, and analogical, visual and meta-reasoning that provide unified accounts of memory, reasoning and learning, and integrated accounts of the content/representation of knowledge and the processes of reasoning/learning. Results of this research are in the form of architectures, processes, methods and algorithms for reasoning and learning, and corresponding languages for knowledge representation and organization. Products also include knowledge-based systems and tools that embody the methods of reasoning and learning.

From the viewpoint of design computing, DIL develops theories, techniques and tools that enable innovative design of physical systems, and design of self-adaptive software agents. The goals of the research on conceptual design of physical systems (e.g., biologically inspired engineering design) is to develop theories of creativity in design and to build interactive tools for aiding innovative design. The goals of the research on design of self-adaptive software agents (e.g., game-playing agents) is to develop theories of reflection in intelligent agents, and to build interactive tools for supporting adaptations to designs of software agents.

From the viewpoint of cognitive science, DIL develops theories of visual and multi-modal reasoning in cognition, and their implications for design of interactive environments and tools.

Over the years, DIL's research has been generously supported by the

National Science Foundation, the

Defense Advanced Research Projects Agency, the

Office of Naval Research, the

Department of Homeland Security through the

Pacific Northwest National Laboratory , and

Northern Telecom,

NCR , and

NEC.

Some of the research in DIL is described

here on the AAAI AI Topics website, and

here in the Encyclopedia of Computer Science and Technology.