1. Aliseda, A. (2000). Abduction as epistemic change: A Peircean model in artificial intelligence. In P. Flach & A. Kakas (Eds.), Abduction and induction: Essays on their relation and integration. Boston, MA: Kluwer Academic Publishers.
2. Bruza, P., Cole, R., Song, D., & Bari, Z. (2006). Towards operational abduction from a cognitive perspective. In L. Magnani (Ed.), Abduction and creative inferences in science. Logic journal of the IGPL. Oxford: Oxford University Press.
3. Burgess, C., Livesay, K., & Lund, K. (1998). Explorations in context space: Words, sentences, discourse. Discourse Processes, 25(2–3), 211–257.
4. Bylander, T., Allemang, D., Tanner, M. C., & Josephson, J. R. (1991). The computational complexity of abduction. Artificial Intelligence, 49, 25–60.
5. Carpenter, G. A., & Grossberg, S. (2003). Adaptive resonance theory. In M. A. Arbib (Ed.), The Handbook of brain theory and neural networks (2nd ed., pp. 87–90). Cambridge, MA: MIT Press.