Computational Model Library

A Toy Model for the Abilene Paradox (version 0.9.0)

This version adds a Maslowian entropy to each agent decision based on Kendrick et. al. Rudimentary implementation assumes agents with lower scores are more likely to make decisions autonomously rather than sociotropically.

Release Notes

This version adds evolutionary dynamics for modeling of phenomena like Groupthink.

  • Each agent has a ‘phenome’ which is a string like “AAABF”.
  • A set of phenomes have a pre-defined utility for convenience e.g. AAABF -> 9.52, AAABS -> 8.62 etc. and a base utility for any combinations not defined e.g. ZXDXZ -> 0.0001
  • Each agent also has a ‘Maslowian’ value which is a list of numeric values e.g. [0.5, 0.6, 0.7]. This yields a hierarchical sum that describes how well agent needs are satisfied.

  • For each iteration, every agent acquires a mutation to their phenome ex. AAABF -> ABABF. Then they have 2 options:

  • They can keep the mutation by a probability correlating with the utility value of this new combination and reversely correlating with sum of neighboring agent utilities.
  • They can ‘attune’ by replacing the mutated portion from a neighboring agent by a probability inversely correlating to their Maslowian value. This is analogous to an actual cell undergoing apoptosis and getting replaced by a neighboring cell multiplying
  • Suppose at the end of an iteration for this agent with ‘AAA’ phenome the neighbor phenomes are like [1 -> ‘AAA’, 2 -> ‘BAA’, 3 -> ‘BBA’, 4 -> ‘BBB’]
    The attunement weights get updated by the degree of difference between phenomes like 1 -> 0.25, 2 -> 0.125 etc.

How to Run

  • Define instance parameters in the application.conf file
  • Compile project into a jar and run.
  • Make sure to include dependency jars for Akka 2.5.23 and Scala 2.12.8
  • Output will be a log of phenome distribution statistics.

Dependencies

  • Requires Scala 2.12 and Akka 2.5 to run, as well as Java 1.8+
Version Submitter First published Last modified Status
0.9.0 Victor Sahin Sun Jul 14 18:24:31 2019 Sun Jul 14 18:24:31 2019 Published
0.8.5 Victor Sahin Sun Jul 7 22:05:03 2019 Sun Jul 7 22:05:03 2019 Published
0.8.0 Victor Sahin Fri Jun 21 18:05:27 2019 Fri Jun 21 18:05:27 2019 Published
0.7.0 Victor Sahin Mon Jun 17 09:55:28 2019 Mon Jun 17 09:55:28 2019 Published

Discussion

Download
This website uses cookies and Google Analytics to help us track user engagement and improve our site. If you'd like to know more information about what data we collect and why, please see our data privacy policy. If you continue to use this site, you consent to our use of cookies.