Comparing apples with oranges: evaluating twelve paradigms of agency
Cached
Download Links
- [www.cs.ucf.edu]
- [www.eecs.ucf.edu]
- [www.cs.ucf.edu]
- [www.eecs.ucf.edu]
- DBLP
Other Repositories/Bibliography
BibTeX
@MISC{Luotsinen_comparingapples,
author = {Linus J. Luotsinen and Joakim N. Ekblad and T. Ryan Fitz-gibbon and Charles Houchin and Justin Key and Majid Ali Khan and Jin Lyu and Johann Nguyen Rex Oleson and Gary Stein and Scott Vander Welde and Viet Trinh and Ladislau Bölöni and et al.},
title = {Comparing apples with oranges: evaluating twelve paradigms of agency},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
We report on a study in which twelve different paradigms were used to implement agents acting in an environment which borrows elements from artificial life and multi-player strategy games. In choosing the paradigms we strived to maintain a balance between high level, logic based approaches to low level, physics oriented models; between imperative programming, declarative approaches and “learning from basics” as well as between anthropomorphic or biologically inspired models on one hand and pragmatic, performance oriented approaches on the other. Instead of strictly numerical comparisons (which can be applied to certain pairs of paradigms, but might be meaningless for others), we had chosen to view each paradigm as a methodology, and compare the design, development and debugging process of implementing the agents in the given paradigm. We found that software engineering techniques could be easily applied to some approaches, while they appeared basically meaningless for other ones. The performance of some agents were easy to predict from the start of the development, for other ones, impossible. The effort required to achieve certain functionality varied widely between the different paradigms. Although far from providing a definitive verdict on the benefits of the different paradigms, our study provided a good insight into what type of conceptual, technical or organizational problems would a development team face depending on their choice of agent paradigm.
Keyphrases
different paradigm imperative programming high level certain pair multi-player strategy game declarative approach software engineering technique artificial life agent paradigm definitive verdict low level good insight development team face organizational problem inspired model certain functionality numerical comparison
