Accession Number : ADA624523


Title :   Models of Conflict Expression


Descriptive Note : Master's thesis


Corporate Author : RAYTHEON CO CAMBRIDGE MA BBN TECHNOLOGIES


Personal Author(s) : Gomes, Paulo F


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a624523.pdf


Report Date : 03 Dec 2014


Pagination or Media Count : 30


Abstract : Conflict is a critical element of social interaction. More and more it is being mediated by technology such as email, SMS and online texting. Consequently, it is becoming increasingly important to develop algorithms that could be applied to this growing data form. This report describes a predictive model for conflict strategy choice given demographic and personality input. It used crowd-sourced data concerning everyday life scenarios. A naive bayes classifer and support vector machine both perform above random. Additionally, statistical analysis of the data was consistent with previous research.


Descriptors :   *CONFLICT , *LEARNING MACHINES , *MATHEMATICAL PREDICTION , *STATISTICAL ANALYSIS , ALGORITHMS , BAYES THEOREM , COLLABORATIVE TECHNIQUES , DEMOGRAPHY , INTERACTIONS , MATHEMATICAL MODELS , MULTIAGENT SYSTEMS , NETWORK ARCHITECTURE , PERFORMANCE(ENGINEERING) , SCENARIOS , SOCIAL COMMUNICATION , STRATEGY , TARGET CLASSIFICATION , TEXT PROCESSING , THESES , VECTOR ANALYSIS


Subject Categories : Sociology and Law
      Statistics and Probability
      Human Factors Engineering & Man Machine System


Distribution Statement : APPROVED FOR PUBLIC RELEASE