A Working Hypothesis for General Intelligence

Frontiers in Artificial Intelligence and Applications

Volumn 157, Issue , 2007, Pages 55-74

  Baum, Eric ^a  

^a Baum Research Enterprises   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; PROBLEM SOLVING;

ARTIFICIAL GENERAL INTELLIGENCES; COMPACT PROGRAMS; COMPUTATIONAL STRUCTURE; GENERAL INTELLIGENCE; HUMAN ABILITIES; HUMAN INTELLIGENCE; OCCAM'S RAZOR; PROGRAM UNDERSTANDING; SIMPLE STRUCTURES; THOUGHT PROCESS;

SCAFFOLDS;

EID: 77955212071     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (16)

1. Laird, J.E., A. Newell & P.S. Rosenbloom.(1987) SOAR: An Architecture for General Intelligence. Artificial Intelligence 33:1-64.
2. Baum, Eric. (2004) What is Thought? MIT Press, Cambridge, MA.
3. Hutter, M. (2006) Universal Algorithmic Intelligence: A Mathematical Top->Down Approach,pp 228-291 in Artificial General Intelligence (Cognitive Technologies) (Hardcover) by Ben Goertzel and Cassio Pennachin (eds), Springer
4. Schmidhuber, J.(2004) Optimal Ordered Problem Solver, Machine Learning 54, 211-254.
5. Smith, W. D. (2006) Mathematical Definition of `Intelligence' (and Consequences), preprint, reference 93 on http://math.temple.edu/~wds/homepage/works.html
6. Gray, P A. et al,(2004) Mouse Brain Organization Revealed Through Direct Genome-Scale TF Expression nalysis Science 24 December 2004: Vol. 306. no. 5705, pp. 2255 - 2257
7. Lakoff, G., Johnson,(1999) M. Philosophy in the Flesh, the embodied mind and its challenge to western thought, New York, Basic Books.
8. Dreyfus, H. L.,(1972) What Computers Can't Do, Cambridge MA MIT Press
9. Myers, A. Xsokoban, http://www.cs.cornell.edu/andru/xsokoban.html
10. Nugroho, R. P., (1999), Java Sokoban, http://www.billybear4kids.com/games/online/sokoban/Sokoban.htm
11. Culbertson, J. C., (1997) Sokoban is PSPACE-complete. Technical Report TR 97-02, Dept. of Computing Science, University of Alberta.
12. Boese, K. D. (1995) Cost Versus Distance in Traveling Salesman Problem, UCLA TR 950018, http://citeseer.ist.psu.edu/boese95cost.html
13. Baum, E. B. & I. Durdanovic. (2000) Evolution of Cooperative Problem-Solving in an Artificial Economy. Neural Computation 12:2743-2775.
14. Baum, E. B. & I. Durdanovic.(2002) An artificial economy of Post production systems. In Advances in Learning Classifier Systems, P.L. Lanzi, W. Stoltzmann & S.M. Wilson (eds.), Berlin: Springer-Verlag, 3-21.
15. Schaul, T. (2005) Evolution of a compact Sokoban solver, Master Thesis, École Polytechnique Fédérale de Lausanne, posted on http://whatisthought.com/eric.html
16. Ellington, A. D., and J. W. Szostack, (1990), In vitro selection of RNA molecules that bind specific ligands. Nature 346:818-822.