- New
-
Topics
- All Categories
- Metaphysics and Epistemology
- Value Theory
- Science, Logic, and Mathematics
- Science, Logic, and Mathematics
- Logic and Philosophy of Logic
- Philosophy of Biology
- Philosophy of Cognitive Science
- Philosophy of Computing and Information
- Philosophy of Mathematics
- Philosophy of Physical Science
- Philosophy of Social Science
- Philosophy of Probability
- General Philosophy of Science
- Philosophy of Science, Misc
- History of Western Philosophy
- Philosophical Traditions
- Philosophy, Misc
- Other Academic Areas
- Journals
- Submit material
- More
Internal reinforcement in a connectionist genetic programming approach
Artificial Intelligence 120 (2):165-198 (2000)
Abstract
This article has no associated abstract. (fix it)Other Versions
No versions found
My notes
Similar books and articles
Automatic programming of behavior-based robots using reinforcement learning.Sridhar Mahadevan & Jonathan Connell - 1992 - Artificial Intelligence 55 (2-3):311-365.
A system for the use of answer set programming in reinforcement learning.Matthias Nickles - 2012 - In Luis Farinas del Cerro, Andreas Herzig & Jerome Mengin (eds.), Logics in Artificial Intelligence. Springer. pp. 488--491.
Automated query learning with Wikipedia and genetic programming.Pekka Malo, Pyry Siitari & Ankur Sinha - 2013 - Artificial Intelligence 194:86-110.
Using genetic programming to learn and improve control knowledge.Ricardo Aler, Daniel Borrajo & Pedro Isasi - 2002 - Artificial Intelligence 141 (1-2):29-56.
The perception of multiple objects: A connectionist approach.Nigel H. Goddard - 1993 - Artificial Intelligence 62 (1):165-177.
From Standard Logic to Logic Programming: Introducing a Logic Based Approach to Artificial Intelligence.André Thayse & Paul Gochet - 1988
Genetic Programming.John R. Koza & Riccardo Poli - 2005 - In Edmund K. Burke & Graham Kendall (eds.), Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques. Springer US. pp. 127–164.
Transferring knowledge as heuristics in reinforcement learning: A case-based approach.Reinaldo A. C. Bianchi, Luiz A. Celiberto, Paulo E. Santos, Jackson P. Matsuura & Ramon Lopez de Mantaras - 2015 - Artificial Intelligence 226 (C):102-121.
Monitoring and control of anytime algorithms: A dynamic programming approach.Eric A. Hansen & Shlomo Zilberstein - 2001 - Artificial Intelligence 126 (1-2):139-157.
A genetic programming approach for solving the linear ordering problem.Petrica C. Pop & Oliviu Matei - 2012 - In Emilio Corchado, Vaclav Snasel, Ajith Abraham, Michał Woźniak, Manuel Grana & Sung-Bae Cho (eds.), Hybrid Artificial Intelligent Systems. Springer. pp. 331--338.
Analytics
Added to PP
2020-12-22
Downloads
21 (#1,049,356)
6 months
9 (#328,796)
2020-12-22
Downloads
21 (#1,049,356)
6 months
9 (#328,796)
Historical graph of downloads
PhilPapers logo by Andrea Andrews and Meghan Driscoll.
This site uses cookies and Google Analytics (see our terms & conditions for details regarding the privacy implications). Use of this site is subject to terms & conditions.
All rights reserved by The PhilPapers Foundation
Server: philpapers-web-8567d8d854-kjfxj dc2