Innovative Applications of Artificial Intelligence 2013

Innovative Applications of Artificial Intelligence 2013 Abstract This issue of the AI Magazine features expanded versions of articles that discuss innovative applications from the 2013 AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-13). This issue of the AI Magazine features expanded versions of articles that discuss innovative applications from the 2013 AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-13).

These articles were selected for their description of AI technologies that are either in practical use or close to it. Five of the articles describe deployed application case studies. These articles present fielded AI applications that distinguish themselves for their innovative use of AI technology. One article describes an emerging application. It presents an area where AI technology can have a practical impact. Another article describes a challenge problem; it presents to the AI community at large a problem where AI could make a significant difference.

Welcome to the Twenty-Fifth Annual Conference on the Innovative Applications of Artificial Intelligence (IAAI-13), the premier conference focusing on applied AI research ranging from exciting new potential applications to innovative deployments of AI technology. IAAI is colocated with AAAI and their paper presentations and invited talks are coordinated. This enables conference attendees to seamlessly move between conferences fostering interest in applied AI research while keeping track of the latest results of AI research. IAAI-13 will have 3 paper tracks: deployed applications, emerging applications and challenge problems. The deployed applications track focuses on fielded AI applications that distinguish themselves for their innovative use of AI technology.

This issue summarizes the state of the art in structured knowledge transfer, which is an emerging approach to the general problem of knowledge acquisition and reuse. Its goal is to capture, in a general form, the internal structure of the objects, relations, strategies, and processes used to solve tasks drawn from a source domain, and exploit that knowledge to improve performance in a target domain.