Information Technology Reference
In-Depth Information
Maciej Komosinski and Andrew Adamatzky. (2009)
Artificial Life Models in Software.
New York: Springer.
Kota R., N. M. Gibbins and N. R. Jennings. (2009) Self-organising agent organisations.
Proc. 8th Int. Conf on Autonomous Agents and Multi-Agent Systems
, Budapest,
Hungary, 797-804.
Koulichev, V. N. (1990)
Generalization in Case-based Machine Learning
. master thesis,
University of Trondheim, Norway, February.
Koza, J.R. (1989) Hierarchical genetic algorithms operating on populationist learning
algorithms. in
Proceedings of IJCAI-89
, Detroit, Michigan USA.
Kraus, S. Negotiation and Cooperation in Multi-Agent Environments.
Artificial
Intelligence Journal
, Special Issue on Economic Principles of Multi-Agent Syste.
Kuipers, B.J. (1984) Common sense reasoning about causality.
Artificial Intelligence
,
Vol. 24,169-203.
Kuipers, B.J. (1986) Qualitative simulation.
Artificial Intelligence
, Vol. 29, 289-338.
Kuipers, B.J. (1993) Reasoning with qualitative models.
Artificial Intelligence
, Vol. 59,
125-132.
Kulis, Brian, Sugato Basu, Inderjit Dhillon. (2009) Semi-supervised graph clustering: a
kernel approach.
Mach Learn
74: 1-22.
Kurtzberg, J. M. (1987) Feature analysis for symbol recognition by elastic matching, in:
int' l Business Machines J. of Research and Development,
31:91- 9.
Kumar, V. (1992) Algorithms for constraint satisfaction problems: a survey.
AI
magazine
, 13 (1): 32-44.
Laird, J. (1988) Recovery from incorrect knowledge in SOAR. in
Proceedings of AAAI-
88,
Saint Paul, Minnesota.
Laird, J.E, P.S. Rosenbloom and A. Newell. (1986) Chunking in SOAR: The anatomy of
a general learning mechanism,
Machine Learning
, 1(1): 11.
Laird, J.E. and A. Newell. (1983) A universal weak method: summary of results. in
Proceedings of IJCAI-83
, Karlsruhe, W. Ger.
Laird, J.E. and P.S. Rosebbloom. (1984) Toward chunking as a general learning
mechanism. in
Proceedings of AAAI-84
, Austin, Tex.
Laird, P.D. (1988)
. Kluwer Academic Publishers.
Langley, P.W. (1978) BACON. 1: A general discovery system. in
Proceedings of the
Canadian Society for Computational Studies of Intelligence
Learning from good and bad data
, Toronto.
Langley, P.W. (1986) On machine learning.
Machine Learning
, 1(1): 5.
Langley, P.W. and J.M. Zytkow. (1989) Data-driven approaches to empirical discovery.
Artificial Intelligence
, 40(1): 283-312.
Langton, C.G. (ed.) (1989)
Artificial Life
. Redwood City, CA: Addison-Wesley.
Langton, C.G., Taylor, C., Farmer, J.D., Rasmussen, S. (eds.) (1992)
Artificial Life II
.
Redwood City, CA: Addison-Wesley.
Langton
,
C.G. (Ed.) (2000)
Artificial life: An overview
. Cambridge: MIT Press.
Lee S.-I., V. Ganapathi, and D. Koller. (2007) Efficient Structure Learning of Markov
Networks using L1-Regularization.
Advances in Neural Information Processing
Systems.
Leech, G., Garside, R., Bryant, M. (1994) CLAWS: the tagging of the British national
corpus. In
Proc of 15th Int' l Conf on Cimputation Linguistics
, Kyoto, Japan