Scott E. Fahlman

Maria J. Santofimia, Scott E. Fahlman, Xavier del Toro, Francisco Moya, Juan Carlos López: A semantic model for actions and events in ambient intelligence. Eng. Appl. of AI 24(8): 1432-1445 (2011)

Scott E. Fahlman: Parallel and Serial Components in Human-Like Intelligence. BICA 2011: 104-109

Maria J. Santofimia, Scott E. Fahlman, Francisco Moya, Juan Carlos López: A Common-Sense Planning Strategy for Ambient Intelligence. KES (2) 2010: 193-202

Thomas R. Shultz, Scott E. Fahlman: Cascade-Correlation. Encyclopedia of Machine Learning 2010: 139-147

Benjamin Lambert, Scott E. Fahlman: Knowledge-Driven Learning and Discovery. AAAI 2007: 1880-1881

Alicia Tribble, Scott E. Fahlman: Resolving Noun Compounds with Multi-Use Domain Knowledge. FLAIRS Conference 2006: 122-127

Scott E. Fahlman: Marker-Passing Inference in the Scone Knowledge-Base System. KSEM 2006: 114-126

Alicia Tribble, Benjamin Lambert, Scott E. Fahlman: SconeEdit: A Text-guided Domain Knowledge Editor. HLT-NAACL 2006

Scott E. Fahlman: Selling interrupt rights: A way to control unwanted e-mail and telephone calls. IBM Systems Journal 41(4): 759- (2002)

Scott E. Fahlman, Lowell D. Harris, Clinton S. Potter, Richard A. Robb: Supercomputing support for advanced biomedical imaging (roundtable). SC 1994: 538-539

Benjamin W. Wah, Thomas S. Huang, Aravind K. Joshi, Dan I. Moldovan, Yiannis Aloimonos, Ruzena Bajcsy, Dana H. Ballard, Doug DeGroot, Kenneth DeJong, Charles R. Dyer, Scott E. Fahlman, Ralph Grishman, Lynette Hirschman, Richard E. Korf, Stephen E. Levinson, Daniel P. Miranker, N. H. Morgan, Sergei Nirenburg, Tomaso Poggio, Edward M. Riseman, Craig Stanfil, Salvatore J. Stolfo, Steven L. Tanimoto, Charles C. Weems: Report on Workshop on High Performance Computing and Communications for Grand Challenge Applications: Computer Vision, Speech and Natural Language Processing, and Artificial Intelligence. IEEE Trans. Knowl. Data Eng. 5(1): 138-154 (1993)

Markus Höhfeld, Scott E. Fahlman: Probabilistic rounding in neural network learning with limited precision. Neurocomputing 4(4): 291-299 (1992)

Scott E. Fahlman: The Recurrent Cascade-Correlation Architecture. NIPS 1990: 190-196

Scott E. Fahlman, Christian Lebiere: The Cascade-Correlation Learning Architecture. NIPS 1989: 524-532

Scott E. Fahlman: What can Massively Parallel Architectures Bring to AI? Australian Joint Conference on Artificial Intelligence 1988: 7-11

Scott E. Fahlman, Geoffrey E. Hinton: Connectionist Architectures for Artificial Intelligence. IEEE Computer 20(1): 100-109 (1987)

Scott E. Fahlman: Parallel processing in artificial intelligence. Parallel Computing 2(3): 283-286 (1985)

Skef Wholey, Scott E. Fahlman: The Design of an Instruction Set for Common Lisp. LISP and Functional Programming 1984: 150-158

Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski: Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. AAAI 1983: 109-113

Scott E. Fahlman, David S. Touretzky, Walter van Roggen: Cancellation in a Parallel Semantic Network. IJCAI 1981: 257-263

Scott E. Fahlman: Computing Facilities for AI: A Survey of Present and Near-Future Options. AI Magazine 2(1): 16-23 (1980)

Scott E. Fahlman: Design Sketch for a Million-Element NETL Machine. AAAI 1980: 249-252

Scott E. Fahlman: A Planning System for Robot Construction Tasks. Artif. Intell. 5(1): 1-49 (1974)