datafsm

Estimating Finite State Machine Models from Data

Our method automatically generates models of dynamic decision- making that both have strong predictive power and are interpretable in human terms. We use an efficient model representation and a genetic algorithm-based estimation process to generate simple deterministic approximations that explain most of the structure of complex stochastic processes. We have applied the software to empirical data, and demonstrated it's ability to recover known data- generating processes by simulating data with agent-based models and correctly deriving the underlying decision models for multiple agent models and degrees of stochasticity.

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Description file content

Package
datafsm
Title
Estimating Finite State Machine Models from Data
Version
0.2.0
Date
2017-06-16
Description
Our method automatically generates models of dynamic decision- making that both have strong predictive power and are interpretable in human terms. We use an efficient model representation and a genetic algorithm-based estimation process to generate simple deterministic approximations that explain most of the structure of complex stochastic processes. We have applied the software to empirical data, and demonstrated it's ability to recover known data- generating processes by simulating data with agent-based models and correctly deriving the underlying decision models for multiple agent models and degrees of stochasticity.
URL
BugReports
https://github.com/jonathan-g/datafsm/issues
Depends
R (>= 3.1.1), methods, stats
License
MIT + file LICENSE
LazyData
true
LinkingTo
Rcpp
Suggests
doParallel, foreach, testthat, diagram, knitr
Imports
caret, GA, Rcpp
VignetteBuilder
knitr
RoxygenNote
6.0.1
NeedsCompilation
yes
Packaged
2017-06-17 02:14:05 UTC; Jonathan
Author
Nay John J. [aut], Gilligan Jonathan M. [cre, aut]
Maintainer
Gilligan Jonathan M.
Repository
CRAN
Date/Publication
2017-06-17 14:40:08 UTC

install.packages('datafsm')

0.2.0

6 days ago

https://github.com/jonathan-g/datafsm

Gilligan Jonathan M.

MIT + file LICENSE

Depends on

R (>= 3.1.1), methods, stats

Imports

caret, GA, Rcpp

Suggests

doParallel, foreach, testthat, diagram, knitr

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