| MIDCA: A metacognitive, integrated dual-cycle architecture for self-regulated autonomy M Cox, Z Alavi, D Dannenhauer, V Eyorokon, H Munoz-Avila, D Perlis Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 87 | 2016 |
| Raising Expectations in GDA Agents Acting in Dynamic Environments D Dannenhauer, H Munoz-Avila | 48 | 2015 |
| Goal operations for cognitive systems M Cox, D Dannenhauer, S Kondrakunta Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 43 | 2017 |
| Informed Expectations to Guide GDA Agents in Partially Observable Environments. D Dannenhauer, H Munoz-Avila, MT Cox IJCAI, 2493-2499, 2016 | 28 | 2016 |
| Goal Reasoning: Papers from the ACS workshop DW Aha, MT Cox, H Munoz-Avila | 26 | 2013 |
| Goal-Driven Autonomy with Semantically-annotated Hierarchical Cases D Dannenhauer, H Munoz-Avila | 16 | 2015 |
| Toward meta-level control of autonomous agents D Dannenhauer, MT Cox, S Gupta, M Paisner, D Perlis Procedia Computer Science 41, 226-232, 2014 | 16 | 2014 |
| Explaining rebel behavior in goal reasoning agents D Dannenhauer, MW Floyd, D Magazzeni, DW Aha ICAPS workshop on explainable planning, 12-18, 2018 | 14 | 2018 |
| Declarative metacognitive expectations for high-level cognition D Dannenhauer, MT Cox, H Munoz-Avila Advances in Cognitive Systems 6, 231-250, 2018 | 13 | 2018 |
| LUIGi: a goal-driven autonomy agent reasoning with ontologies D Dannenhauer, H Munoz-Avila Advances in Cognitive Systems (ACS-13), 2013 | 12 | 2013 |
| Anticipatory thinking: A metacognitive capability A Amos-Binks, D Dannenhauer arXiv preprint arXiv:1906.12249, 2019 | 11 | 2019 |
| Towards Explainable NPCs: A Relational Exploration Learning Agent. M Molineaux, D Dannenhauer, DW Aha AAAI Workshops, 565-569, 2018 | 11 | 2018 |
| Self monitoring goal driven autonomy agents D Dannenhauer Lehigh University, 2017 | 11 | 2017 |
| Is everything going according to plan? expectations in goal reasoning agents H Munoz-Avila, D Dannenhauer, N Reifsnyder Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9823-9829, 2019 | 10 | 2019 |
| Human-agent teaming as a common problem for goal reasoning M Molineaux, MW Floyd, D Dannenhauer, DW Aha 2018 AAAI Spring Symposium Series, 2018 | 8 | 2018 |
| Goal transformation and goal reasoning MT Cox, D Dannenhauer Proceedings of the 4th Workshop on Goal Reasoning, 2016 | 8 | 2016 |
| The ideal rebellion: Maximizing task performance in rebel agents J Boggs, D Dannenhauer, MW Floyd, D Aha Proceedings of the 6th Goal Reasoning Workshop, 2018 | 7 | 2018 |
| Case-based goal selection inspired by IBM’s Watson D Dannenhauer, H Munoz-Avila International Conference on Case-Based Reasoning, 29-43, 2013 | 6 | 2013 |
| Computational metacognition M Cox, Z Mohammad, S Kondrakunta, VR Gogineni, D Dannenhauer, ... arXiv preprint arXiv:2201.12885, 2022 | 5 | 2022 |
| Learning from exploration: Towards an explainable goal reasoning agent D Dannenhauer, MW Floyd, M Molineaux, DW Aha Proceedings of the Workshop on Adaptive Learning Agents (held at the 27th …, 2018 | 5 | 2018 |
Michael T. CoxWright State UniversityVerified email at wright.edu
