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» An AI Model of Creativity
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AI
2002
Springer
14 years 9 months ago
The size distribution for Markov equivalence classes of acyclic digraph models
Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
Steven B. Gillispie, Michael D. Perlman
ROBOCUP
1999
Springer
102views Robotics» more  ROBOCUP 1999»
15 years 2 months ago
A Method for Localization by Integration of Imprecise Vision and a Field Model
In recent years, many researchers in AI and Robotics pay attention to RoboCup, because robotic soccer games needs various techniques in AI and Robotics, such as navigation, behavi...
Kazunori Terada, Kouji Mochizuki, Atsushi Ueno, Hi...
ATAL
2010
Springer
14 years 11 months ago
Generation and analysis of multiple futures with swarming agents
Most agent-based modeling techniques generate only a single trajectory in each run, greatly undersampling the space of possible trajectories. Swarming agents can explore a great m...
H. Van Dyke Parunak
AI
2008
Springer
14 years 10 months ago
Modelling and solving temporal reasoning as propositional satisfiability
Representing and reasoning about time dependent information is a key research issue in many areas of computer science and artificial intelligence. One of the best known and widely...
Duc Nghia Pham, John Thornton, Abdul Sattar
AMAI
2000
Springer
14 years 9 months ago
A prospective on mathematics and artificial intelligence: Problem solving=Modeling+Theorem proving
This is a prospective on the research in the intersection of mathematics and artificial intelligence that I see as having been the most important over the past 10 years and that I...
Harvey J. Greenberg