| A LIDA cognitive model tutorial S Franklin, T Madl, S Strain, U Faghihi, D Dong, S Kugele, J Snaider, ... Biologically Inspired Cognitive Architectures 16, 105-130, 2016 | 79 | 2016 |
| Artificial motivation for cognitive software agents RJ McCall, S Franklin, U Faghihi, J Snaider, S Kugele Journal of Artificial General Intelligence 11 (1), 38-69, 2020 | 24 | 2020 |
| Learning in LIDA S Kugele, S Franklin Cognitive Systems Research 66, 176-200, 2021 | 22 | 2021 |
| Numerical integration in statistical decision-theoretic methods for robust design optimization SC Kugele, MW Trosset, LT Watson Structural and Multidisciplinary Optimization 36, 457-475, 2008 | 13 | 2008 |
| The learning intelligent distribution agent (LIDA) and medical agent X (MAX): Computational intelligence for medical diagnosis S Strain, S Kugele, S Franklin 2014 IEEE Symposium on Computational Intelligence for Human-like …, 2014 | 10 | 2014 |
| Multidimensional numerical integration for robust design optimization SC Kugele, LT Watson, MW Trosset Proceedings of the 45th annual southeast regional conference, 385-390, 2007 | 8 | 2007 |
| Interplay of numerical integration with gradient based optimization algorithms for robust design optimization SC Kugele, LT Watson, MW Trosset Proceedings 2007 IEEE SoutheastCon, 472-477, 2007 | 6 | 2007 |
| Modeling interactions between the embodied and the narrative self: Dynamics of the self-pattern within LIDA A Hölken, S Kugele, A Newen, S Franklin Cognitive Systems Research 81, 25-36, 2023 | 5 | 2023 |
| Modeling long-term intentions and narratives in autonomous agents C Kronsted, ZA Neemeh, S Kugele, S Franklin Journal of Artificial Intelligence and Consciousness 8 (02), 229-265, 2021 | 5 | 2021 |
| Body schema in autonomous agents ZA Neemeh, C Kronsted, S Kugele, S Franklin Journal of Artificial Intelligence and Consciousness 8 (01), 113-145, 2021 | 5 | 2021 |
| Embodied intelligence: smooth coping in the learning intelligent decision agent cognitive architecture C Kronsted, S Kugele, ZA Neemeh, KJ Ryan Jr, S Franklin Frontiers in Psychology 13, 846931, 2022 | 3 | 2022 |
| Conscious multi-modal perceptual learning for grounded simulation-based cognition S Kugele, S Franklin | 3 | 2020 |
| General intelligence requires autonomous, cognitive, intentional agents S Kugele, S Franklin | 2 | 2020 |
| A study in activation: Towards a common lexicon and functional taxonomy in cognitive architectures S Kugele, S Franklin | 2 | 2020 |
| The cost of numerical integration in statistical decision-theoretic methods for robust design optimization SC Kugele, MW Trosset, LT Watson | 2 | 2006 |
| New developments in the LIDA model S Franklin, S Strain, S Kugele, T Madl, N Khayi, K Ryan | 1 | 2018 |
| Embodied, Simulation-Based Cognition: A Hybrid Approach SC Kugele The University of Memphis, 2023 | | 2023 |
Stan FranklinProfessor Emeritus of Computer Science, The University of Memphis在 memphis.edu 的电子邮件经过验证
