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Measuring individual differences in cognitive effort avoidance., , , , , and . CogSci, cognitivesciencesociety.org, (2018)IARPA's ICArUS Program: Brain-Inspired Cognitive Models for Intelligence Analysis.. BICA, volume 233 of Frontiers in Artificial Intelligence and Applications, page 242. IOS Press, (2011)Deep Neural Ranking for Crowdsourced Geopolitical Event Forecasting., , , and . MLN, volume 11407 of Lecture Notes in Computer Science, page 257-269. Springer, (2018)Wikipedia Knowledge Graph for Explainable AI., , , , , , , , and . KGSWC, volume 1232 of Communications in Computer and Information Science, page 72-87. Springer, (2020)Enhancing Crowd Wisdom Using Explainable Diversity Inferred from Social Media., , , , , and . WI, page 293-300. IEEE Computer Society, (2018)Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge., , , , , , , , and . CoRR, (2022)Who Should Be the Captain This Week?Leveraging Inferred Diversity-Enhanced Crowd Wisdom for a Fantasy Premier League Captain Prediction., , , , and . ICWSM, page 103-113. AAAI Press, (2019)The Case of the Cognitive (Opti)miser: Electrophysiological Correlates of Working Memory Maintenance Predict Demand Avoidance., , , and . J. Cogn. Neurosci., 32 (8): 1550-1561 (2020)Enhancing crowd wisdom using measures of diversity computed from social media data., , , , , and . WI, page 907-913. ACM, (2017)Adapting the Turing Test for Embodied Neurocognitive Evaluation of Biologically-Inspired Cognitive Agents., and . AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, volume FS-08-04 of AAAI Technical Report, page 117-126. AAAI, (2008)