Publication Details
Title: A Connectionist Model of Planning via Back-Chaining Search
Author: M. Garagnani, L. Shastri, and C. Wendelken
Group: AI
Date: December 2001
PDF: http://www.icsi.berkeley.edu/pubs/ai/connectionistmodel01.pdf
Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grants BCS: 9720398 ("Learning and Intelligent Systems: From Sound to Meaning") and ECCS: 9970890 ("GOALI: A Unified Treatment of Belief, Utility, and Action"). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation.
Bibliographic Information:
Proceedings of the 20th Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG 2001), Edinburgh, Scotland
Bibliographic Reference:
M. Garagnani, L. Shastri, and C. Wendelken. A Connectionist Model of Planning via Back-Chaining Search. Proceedings of the 20th Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG 2001), Edinburgh, Scotland, December 2001
Author: M. Garagnani, L. Shastri, and C. Wendelken
Group: AI
Date: December 2001
PDF: http://www.icsi.berkeley.edu/pubs/ai/connectionistmodel01.pdf
Acknowledgements:
This work was partially supported by funding provided to ICSI through National Science Foundation grants BCS: 9720398 ("Learning and Intelligent Systems: From Sound to Meaning") and ECCS: 9970890 ("GOALI: A Unified Treatment of Belief, Utility, and Action"). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of the National Science Foundation.
Bibliographic Information:
Proceedings of the 20th Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG 2001), Edinburgh, Scotland
Bibliographic Reference:
M. Garagnani, L. Shastri, and C. Wendelken. A Connectionist Model of Planning via Back-Chaining Search. Proceedings of the 20th Workshop of the UK Planning and Scheduling Special Interest Group (PLANSIG 2001), Edinburgh, Scotland, December 2001
