Dr. Matthew O. Iklé
Matthew O. Iklé, Ph.D. is
Associate Professor of Mathematics
Department of Chemistry, Computer Science, and Mathematics
Adams State College. He is Team Leader for the
Artificial General
Intelligence Research Institute.
He is also Artificial Intelligence Scientist,
Kuvera Quantitative Analyst Researcher,
Novamente, LLC. and Applied
Mathematician at
Syschem Inc.
Matt authored
Exact (1+1)-Dimensional Solutions to a Discrete Velocity Model for
Coagulation-Fragmentation, and
coauthored
Probabilistic Logic Networks: A Comprehensive Conceptual,
Mathematical
and Computational Framework for Uncertain Inference,
Positive similarity solutions for a discrete velocity boltzman
coagulation-fragmentation model,
On the Dynamics of Genetic Algorithms (and Other Evolving
Systems),
Indefinite Probabilities for General Intelligence,
and
A convergence theorem for the simple GA with population size tending
to
infinity.
Read the
full list of his publications!
At Novamente, he has created the Indefinite Probabilities foundation for
Probabilistic Logic Networks component of the Novamente integrative AI
system, developed and tested statistical and pattern recognition
techniques for inclusion in the Kuvera market prediction product, and
developed techniques and tools for measuring
weight-of-evidence.
He was previously team leader of the Cognitive Dynamics Group at
Webmind, Inc. where he investigated and characterized the mathematical
dynamics of a cutting-edge, massively distributed AI system. He also
performed simulations and created mathematical models of numerous system
aspects, including main activation dynamics, scheduling systems,
attention brokering, link strength normalization, and inhibitory
stimuli.
Matt earned his B.A. in Mathematics at Reed College in 1982 with the
thesis “Collisions and Collapse: Qualitative Results for the n-Body
Problem”, his M.A. in Mathematics at the University of Wisconsin,
Madison in 1989, and his Ph.D. in Mathematics at the University of
Wisconsin, Madison in 1993 with the thesis
Exact Solutions to a Discrete
Velocity Model for Coagulation-Fragmentation.
Read his LinkedIn profile.
