Design processes are complex in nature and commonly involve multiple participantsor
agents who bear individual (and often conflicting) views, goals, expertise, knowledgeand …

The paper proposes a novelty detector based on an artificial neural network forecaster. It
shows how such forecaster can be constructed and as a novelty detector. Two variations of …

The paper elaborates upon a prior proposal for a novelty detector based on an artificial
neural network forecaster. In the former paper, the novelty-based motivational signal was …

Human creativity is the ultimate driving force behind scientific progress. While the building
blocks of innovations are often embodied in existing knowledge, it is creativity that blends …

In this paper, we present a generative design method for supporting creative conceptual
design in a multi-agent system. The hierarchical multi-agent system architecture offers a …

In recent years, there has been a strong interest in developing Creativity Support Tools for
many exciting areas of research such as art and music. Yet few such tools have been …

We proposed a pixel-based evolution method to automatically generate evolutionary art. Our
method can generate diverse artworks, including original artworks and imitating artworks …

Design decision making increasingly involves the participation of multiple agents which
bring into the design process multiple, and often conflicting, needs, knowledge, and goals …

In many design tasks it is difficult to explicitly define an objective function. This paper uses
machine learning to derive an objective in a feature space based on selected examples of …

In this paper we discuss designing abilities, such as creativity and learning, as abilities that
emerge though interaction in cooperative human-machine networks. We concentrate in a …