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AISC
2000
Springer
15 years 11 months ago
Reasoning about the Elementary Functions of Complex Analysis
There are many problems with the simplification of elementary functions, particularly over the complex plane. Systems tend to make “howlers” or not to simplify enough. In thi...
Robert M. Corless, James H. Davenport, David J. Je...
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
15 years 10 months ago
Genetic algorithms to optimise the time to make stock market investment
The application of Artificial Intelligence described in this article is intended to resolve the issue of speculation on the stock market. Genetic Algorithms is the technique that ...
David de la Fuente, Alejandro Garrido, Jaime Lavia...
ATAL
2009
Springer
16 years 1 months ago
Online exploration in least-squares policy iteration
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
Lihong Li, Michael L. Littman, Christopher R. Mans...
AAAI
2007
15 years 8 months ago
Learning by Reading: A Prototype System, Performance Baseline and Lessons Learned
A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason...
Ken Barker, Bhalchandra Agashe, Shaw Yi Chaw, Jame...
ATAL
2009
Springer
16 years 1 months ago
Distributed constraint optimization with structured resource constraints
Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on age...
Akshat Kumar, Boi Faltings, Adrian Petcu