Artificial Dreams

H.R. Ekbia is associate professor of information science and cognitive science at Indiana University, where he is also affiliated with the School of Informatics. Initially trained as an engineer, Ekbia switched his focus to study cognitive science in order to pursue a lifelong interest in the workings of the human mind. To get a deeper understanding of the questions that AI research and writing posed but hastily tackled, Ekbia in turn began to focus on the philosophy of science and science studies, through which he discovered novel ways of thinking about science, technology, and the human mind. This broad intellectual background is well reflected in Ekbia's writings, which range over a diverse set of topics on the human mind, machines, and the mediated interactions between the two. Ekbia has taught extensively in the areas of computer science, information science, and cognitive science. He currently teaches human-computer interaction and social informatics at the School of Library and Information Science at Indiana University.

1. The origins of AI; 2. Supercomputing AI; 3. Cybernetic AI; 4. Knowledge-intensive AI; 5. Case-based AI; 6. Connectionist AI; 7. Dynamical AI; 8. Neo-robotic AI; 9. Analogical AI.