Technical Stream

The TECHNICAL STREAM aims to present the best of recent developments in AI, covering a wide range of technical areas. The papers will present new and innovative developments in the field.

Areas of interest include (but are not restricted to): knowledge based systems; knowledge engineering; constraint satisfaction; intelligent agents; machine learning; model based reasoning; verification and validation of AI systems; natural language understanding; case based reasoning; neural networks; genetic algorithms; data mining and knowledge discovery in databases.

Invited Keynote Lecture

Prof. Noel Sharkey (University of Sheffield): When We Became Machines [Abstract]

A celebration of the history of robots from ancient automata to modern film stars and an exploration of their impact on our understanding of ourselves.

Papers Accepted for the Technical Stream

Best Refereed Technical Papers

Technical Stream Executive Programme Committee and Programme Committee