Sciweavers

AI
2003
Springer
13 years 11 months ago
The Importance of Fine-Grained Cue Phrases in Scientific Citations
Abstract. Scientific citations play a crucial role in maintaining the network of relationships among mutually relevant articles within a research field. Customarily, authors includ...
Robert E. Mercer, Chrysanne DiMarco
AI
2001
Springer
13 years 11 months ago
Learning about Constraints by Reflection
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...
J. William Murdock, Ashok K. Goel
AGP
2003
IEEE
13 years 11 months ago
Advanced Backjumping Techniques for Rule Instantiations
Abstract. The interest in the area of non-monotonic reasoning and declarative logic programming is growing rapidly after the recent development of a number of Answer Set Programmin...
Simona Perri, Francesco Scarcello
AGP
2003
IEEE
13 years 11 months ago
Using dynamic logic programming to model legal reasoning
Dynamic logic programming allows the representation and the inference of evolving knowledge. Legal knowledge reasoning needs the capability to model laws that change over time and ...
N. Graca, Paulo Quaresma
AE
2003
Springer
13 years 11 months ago
ParaDisEO-Based Design of Parallel and Distributed Evolutionary Algorithms
ParaDisEO is a framework dedicated to the design of parallel and distributed metaheuristics including local search methods and evolutionary algorithms. This paper focuses on the la...
Sébastien Cahon, Nordine Melab, El-Ghazali ...
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
13 years 11 months ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
GECCO
2006
Springer
237views Optimization» more  GECCO 2006»
13 years 11 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...
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 11 months ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
GECCO
2006
Springer
447views Optimization» more  GECCO 2006»
13 years 11 months ago
Candlestick stock analysis with genetic algorithms
Candlestick analysis, a form of stock market technical analysis, is well suited for use with a genetic search algorithm. This paper explores an implementation of marrying these tw...
Peter Belford
EVOW
2006
Springer
13 years 11 months ago
Associative Memory Scheme for Genetic Algorithms in Dynamic Environments
In recent years dynamic optimization problems have attracted a growing interest from the community of genetic algorithms with several approaches developed to address these problems...
Shengxiang Yang