ABLE is a Java framework, component library, and productivity tool kit for building intelligent agents using machine learning and reasoning. The ABLE research project is made available by the IBM T. J. Watson Research Center.
N. Masota, G. Vogg, K. Ohlsen, und U. Holzgrabe. PLoS One, 16 (7):
e0255437(2021)Masota, Nelson E
Vogg, Gerd
Ohlsen, Knut
Holzgrabe, Ulrike
eng
Research Support, Non-U.S. Gov't
2021/07/30
PLoS One. 2021 Jul 29;16(7):e0255437. doi: 10.1371/journal.pone.0255437. eCollection 2021..
R. Raju, D. Dhivya, R. Saranya, und S. Abbinaya. International Journal of Innovative Science and Modern Engineering (IJISME), 1 (3):
72-75(Februar 2013)
D. Traum, J. Rickel, J. Gratch, und S. Marsella. Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, Seite 441–448. New York, NY, USA, Association for Computing Machinery, (2003)
D. Beßler, M. Pomarlan, und M. Beetz. Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, Seite 1684–1692. Richland, SC, International Foundation for Autonomous Agents and Multiagent Systems, (2018)
S. Anjomshoae, A. Najjar, D. Calvaresi, und K. Främling. Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, Seite 1078–1088. Richland, SC, International Foundation for Autonomous Agents and Multiagent Systems, (2019)