@INPROCEEDINGS{AICPub1824:2011, AUTHOR={Murray, K. and Lowrance, J. and Sharpe, K. and Williams, D. and Gremban, K. and Holloman, K. and Speed, C. and Tynes, R}, EDITOR={Salerno, J. and Yang, S. J. and Nau, D. and Chai, S.-K.}, TITLE={Toward Culturally Informed Option Awareness for Influence Operations with S-CAT}, BOOKTITLE={Proceedings of the 4th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction (SBP11)}, ISSN={0302-9743}, PUBLISHER={Springer}, SERIES={Lecture Notes in Computer Science}, PAGES={2-9}, MONTH={March}, VOLUME={6589}, YEAR={2011}, COPYRIGHT={Copyright 2011 Springer-Verlag Berlin Heidelberg}, KEYWORDS={Modeling Culture, Effects-Based Modeling, Forecasting Effects}, ABSTRACT={The Socio-Cultural Analysis Tool (S-CAT) is being developed to help decision makers better understand the plausible effects of actions taken in situations where the impact of culture is both significant and subtle. We describe S-CAT in the context of a hypothetical influence operation that serves as an illustrative use case. One of the many challenges in developing S-CAT involves providing transparency into the model. S-CAT does this by providing explanations of the analysis it provides. This paper describes how S-CAT can improve option-awareness during influence operations and discusses the explanation capabilities used by S-CAT to support transparency into the model.} }
