The major objective of the Spectral Analysis Automation (SAA) work is to develop an agent-based system that is capable of filtering spectral analysis data and making the selected ...
This paper proposes a new connectionist approach to numeric law discovery; i.e., neural networks (law-candidates) are trained by using a newly invented second-order learning algor...
Empirical analyses of complex games necessarily focus on a restricted set of strategies, and thus the value of empirical game models depends on effective methods for selectively e...
Patrick R. Jordan, L. Julian Schvartzman, Michael ...
We propose a technique for pattern classification in symbolic streams via selective erasure of observed symbols, in cases where the patterns of interest are represented as Probabil...
Graph transformation units are an approach-independent concept for programming by applying rules and imported transformation units to graphs, starting in an initial and ending in ...