Author:
Zimmermann Jörg,Cremers Armin B.
Abstract
AbstractThe term Artificial Intelligence was coined in 1956. Since then, this new research area has gone through several cycles of fast progress and periods of apparent stagnation. Today, the field has broadened and deepened significantly, and developed a rich variety of theoretical approaches and frameworks on the one side, and increasingly impressive practical applications on the other side. While a thorough foundation for a general theory of cognitive agents is still missing, there is a line of development within AI research which aims at foundational justifications for the design of cognitive agents, enabling the derivation of theorems characterizing the possibilities and limitations of computational cognitive agents.
Publisher
Springer International Publishing
Reference38 articles.
1. Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine bias. ProPublica.
2. Arnborg, S. (2016). Robust Bayesian analysis in partially ordered plausibility calculi. International Journal of Approximate Reasoning, 78, 1–14.
3. Arora, S., & Barak, B. (2009). Complexity theory: A modern approach. Cambridge: Cambridge University Press.
4. Awad, E., Dsouza, S., Kim, R., Schulz, J., Henrich, J., Shariff, A., et al. (2018). The moral machine experiment. Nature, 536, 59–64.
5. Berlekamp, E. R., Conway, J. H., & Guy, R. K. (2001). Winning ways for your mathematical plays (2nd ed.). Natick: A K Peters.