• Rafal Smigrodzki, Ben Goertzel, Cassio Pennachin, Lucio Coelho, Francisco Prosdocimi, and W. Davis Parker. Genetic algorithm for analysis of mutations in Parkinson's disease. Artificial Intelligence in Medicine, 35(3):227–241, 2005. (doi:10.1016/j.artmed.2004.11.006)
  • Ben Goertzel, Hugo Pinto, Ari Heljakka, Izabela Freire Goertzel, Mike Ross, and Cassio Pennachin. Using dependency parsing and probabilistic inference to extract relationships between genes, proteins and malignancies implicit among multiple biomedical research abstracts. In Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology, 2006. (doi:10.3115/1654415.1654437)
  • Benjamin N Goertzel, Cassio Pennachin, Lucio de Souza Coelho, Brian Gurbaxani, Elizabeth M Maloney, and James F Jones. Combinations of single nucleotide polymorphisms in neuroendocrine effector and receptor genes predict chronic fatigue syndrome. Pharmacogenomics, 7:475–483, 2006. (doi:10.2217/14622416.7.3.475)
  • Ben Goertzel. A pragmatic path toward endowing virtually-embodied AIs with human-level linguistic capability. In Proceedings of the International Joint Conference on Neural Networks, 2008. (doi:10.1109/IJCNN.2008.4634214)
  • Ben Goertzel, Cassio Pennachin, Maurício de Alvarenga Mudado, and Lúcio de Souza Coelho. Identifying the genes and genetic interrelationships underlying the impact of calorie restriction on maximum lifespan: an artificial intelligence-based approach.. Rejuvenation research, 11(4):735–48, 2008. (doi:10.1089/rej.2007.0627)
  • Ben Goertzel, Cassio Pennachin, Nil Geissweiller, Moshe Looks, Andre Senna, Welter Silva, Ari Heljakka, and Carlos Lopes. An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life. Frontiers in Artificial Intelligence and Applications, 171:161–175, 2008.
  • David Hart and Ben Goertzel. OpenCog: A software framework for integrative artificial general intelligence. Frontiers in Artificial Intelligence and Applications, 171(1):468–472, 2008.
  • Matthew Iklé and Ben Goertzel. Probabilistic quantifier logic for general intelligence: An indefinite probabilities approach. Frontiers in Artificial Intelligence and Applications, 171(1):188–199, 2008.
  • Ben Goertzel. OpenCog NS: A Deeply-Interactive Hybrid Neural-Symbolic Cognitive Architecture Designed for Global/Local Memory Synergy. In AAAI Fall Symposium: Biologically Inspired Cognitive Architectures, volume 9, pages 63–68, 2009.
  • Ben Goertzel. OpenCog Prime: A cognitive synergy based architecture for artificial general intelligence. In Proceedings of the 2009 8th IEEE International Conference on Cognitive Informatics, pages 60–68, 2009. (doi:10.1109/COGINF.2009.5250807)
  • Matthew Ikle, Joel Pitt, Ben Goertzel, and George Sellman. Economic Attention Networks: Associative Memory and Resource Allocation for General Intelligence. In Proceedings of the 2nd Conference on Artificial General Intelligence, 2009. (doi:10.2991/agi.2009.19)
  • Moshe Looks and Ben Goertzel. Program Representation for General Intelligence. In Proceedings of the 2nd Conference on Artificial General Intelligence, 2009. (doi:10.2991/agi.2009.32)
  • Nil Geisweiller and Ben Goertzel. Uncertain Spatiotemporal Logic for General Intelligence. In Proceedings of the 3rd Conference on Artificial General Intelligence, 2010. (doi:10.2991/agi.2010.36)
  • Ben Goertzel, Hugo De Garis, Cassio Pennachin, Nil Geisweiller, Samir Araujo, Joel Pitt, Shuo Chen, Ruiting Lian, Min Jiang, Ye Yang, and Deheng Huang. OpenCogBot: Achieving Generally Intelligent Virtual Agent Control and Humanoid Robotics via Cognitive Synergy. In Proceedings of International Conference on Artifical Intelligence, 2010.
  • Ben Goertzel, Cassio Pennachin, Samir Araujo, Fabricio Silva, Murilo Queiroz, Ruiting Lian, Welter Silva, Michael Ross, Linas Vepstas, and Andre Senna. A General Intelligence Oriented Architecture for Embodied Natural Language Processing. In Proceedings of the 3rd Conference on Artificial General Intelligence, 2010. (doi:10.2991/agi.2010.16)
  • Ben Goertzel, Joel Pitt, Matthew Ikle, Cassio Pennachin, and Liu Rui. Glocal memory: A critical design principle for artificial brains and minds. Neurocomputing, 74(1-3):84–94, 2010. (doi:10.1016/j.neucom.2009.10.033)
  • Matthew Ikle and Ben Goertzel. Grounding Possible Worlds Semantics in Experiential Semantics. In Proceedings of the 3d Conference on Artificial General Intelligence, 2010. (doi:10.2991/agi.2010.9)
  • Ruiting Lian, Ben Goertzel, Rui Liu, Michael Ross, Murilo Queiroz, and Linas Vepstas. Sentence generation for artificial brains: A glocal similarity-matching approach. Neurocomputing, 74(1-3):95–103, 2010. (doi:10.1016/j.neucom.2009.11.053)
  • Zhenhua Cai, Ben Goertzel, and Nil Geisweiller. OpenPsi: Realizing Dorner's "Psi" cognitive model in the OpenCog integrative AGI architecture. In International Conference on Artificial General Intelligence, 2011. (doi:10.1007/978-3-642-22887-2_22)
  • Ben Goertzel. A Novel Strategy for Hybridizing Subsymbolic and Symbolic Learning and Representation. In AAAI Fall Symposium: Advances in Cognitive Systems, 2011.
  • Ben Goertzel. Lifelong Forgetting: A Critical Ingredient of Lifelong Learning , and Its Implementation in the OpenCog Integrative AI Framework. Lifelong Learning: Papers from the 2011 AAAI Workshop, 2011.
  • Ben Goertzel, Joel Pitt, Jared Wigmore, Nil Geisweiller, Zhenhua Cai, Ruiting Lian, Deheng Huang, and Gino Yu. Cognitive Synergy between Procedural and Declarative Learning in the Control of Animated and Robotic Agents Using the OpenCogPrime AGI Architecture. In Proceedings of the 25th AAAI Conference on Artificial Intelligence, pages 1436–1441, 2011.
  • Matthew Ikle and Ben Goertzel. Nonlinear-dynamical attention allocation via information geometry. In International Conference on Artificial General Intelligence, 2011. (doi:10.1007/978-3-642-22887-2_7)
  • Zhenhua Cai, Ben Goertzel, Changle Zhou, Yongfeng Zhang, Min Jiang, and Gino Yu. Dynamics of a computational affective model inspired by Dorner's PSI theory. Cognitive Systems Research, 17-18:63–80, 2012. (doi:10.1016/j.cogsys.2011.11.002)
  • Ben Goertzel. Perception processing for general intelligence: Bridging the symbolic/subsymbolic gap. AI, 2012. (doi:10.1007/978-3-642-35506-6_9)
  • Ben Goertzel. Perception processing for general intelligence, Part II: Bridging the symbolic/subsymbolic gap, 2012. (doi:10.1007/978-3-642-35506-6_9)
  • Ruiting Lian, Ben Goertzel, Shujing Ke, Jade O'Neill, Keyvan Sadeghi, Simon Shiu, Dingjie Wang, Oliver Watkins, and Gino Yu. Syntax-semantic mapping for general intelligence: Language comprehension as hypergraph homomorphism, language generation as constraint satisfaction. In International Conference on Artificial General Intelligence, 2012. (doi:10.1007/978-3-642-35506-6_17)
  • Jade O'Neill, Ben Goertzel, Shujing Ke, Ruiting Lian, Keyvan Sadeghi, Simon Shiu, Dingjie Wang, and Gino Yu. Pattern mining for general intelligence: The FISHGRAM algorithm for frequent and interesting subhypergraph mining. In International Conference on Artificial General Intelligence, 2012. (doi:10.1007/978-3-642-35506-6_20)
  • Ben Goertzel, Shujing Ke, Ruiting Lian, Jade O'Neill, Keyvan Sadeghi, Dingjie Wang, Oliver Watkins, and Gino Yu. The CogPrime architecture for embodied Artificial General Intelligence. In Proceedings of the 2013 IEEE Symposium on Computational Intelligence for Human-Like Intelligence, pages 60–67, 2013. (doi:10.1109/CIHLI.2013.6613266)
  • Ben Goertzel, Ted Sanders, and Jade O'Neill. Integrating deep learning based perception with probabilistic logic via frequent pattern mining. In International Conference on Artificial General Intelligence, 2013. (doi:10.1007/978-3-642-39521-5_5)
  • Ben Goertzel and Gino Yu. A cognitive API and its application to AGI intelligence assessment. In International Conference on Artificial General Intelligence, pages 242–245, 2014. (doi:10.1007/978-3-319-09274-4_25)
  • Ben Goertzel and Gino Yu. From here to AGI: A roadmap to the realization of human-level artificial general intelligence. In Proceedings of the International Joint Conference on Neural Networks, pages 1525–1533, 2014. (doi:10.1109/IJCNN.2014.6889801)
  • Ben Goertzel, David Hanson, and Gino Yu. A software architecture for generally intelligent humanoid robotics. Procedia Computer Science, 41:158–163, 2014. (doi:10.1016/j.procs.2014.11.099)
  • Ben Goertzel, Cassio Pennachin, and Nil Geisweiller. Integrating CogPrime with a Compositional Spatiotemporal Deep Learning Network. In Engineering General Intelligence, Part 2, pages 163–172. Atlantis Press, 2014. (doi:10.2991/978-94-6239-027-0)
  • Cosmo Harrigan, Ben Goertzel, Matthew Ikle, Amen Belayneh, and Gino Yu. Guiding probabilistic logical inference with nonlinear dynamical attention allocation. In International Conference on Artificial General Intelligence, pages 238–241, 2014. (doi:10.1007/978-3-319-09274-4_24)
  • Keyvan Sadeghi and Ben Goertzel. Uncertain Interval Algebra via fuzzy/probabilistic modeling. In Proceedings of the IEEE International Conference on Fuzzy Systems, pages 591–598, 2014. (doi:10.1109/FUZZ-IEEE.2014.6891863)
  • Ben Goertzel. Are there deep reasons underlying the pathologies of today???s deep learning algorithms? Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9205:70–79, 2015. (doi:10.1007/978-3-319-21365-1_8)
  • Ben Goertzel, Nil Geisweiller, Eddie Monroe, Mike Duncan, Selamawit Yilma, Meseret Dastaw, Misgana Bayetta, Amen Belayneh, Matthew Ikle', and Gino Yu. Speculative scientific inference via synergetic combination of probabilistic logic and evolutionary pattern recognition. In International Conference on Artificial General Intelligence, 2015. (doi:10.1007/978-3-319-21365-1_9)
  • Ruiting Lian, Rodas Solomon, Amen Belayneh, Ben Goertzel, Gino Yu, and Changle Zhou. From specialized syntax to general logic: The case of comparatives. In International Conference on Artificial General Intelligence, pages 301–309, 2015. (doi:10.1007/978-3-319-21365-1_31)
  • Ben Goertzel. Infusing Advanced AGIs with Human-Like Value Systems: Two Theses. Journal of Evolution and Technology, 26(1):50–72, 2016.