Recent Publications and Presentations
Note re 'Recent Publications and Presentations':
- These are simply listed sequentially as they occur
-AI/AGI-related journals, patents, software/technology-related, etc usually are indexed differently than biological/medical publications but links are provided below to full papers where possible
-MDPAC Journal articles are not indexed but links are provided to full articles (they represent continuing education to the physician psychotherapist population rather than new research)
-My work in AI and AGI is on cognitive architectures -- this is very different (and much less popular, less funding, less citations, ....) than what is known as modern "AI", i.e., machine learning of large data, large language models (e.g., ChatGPT), etc. I am knowledgeable but do not do work directly in those areas.
However, sometimes worthwhile different ideas start off small and slowly, and gain more prominence as the most popular idea runs into limitations. I believe the cognitive architectures will yield human-like, safe AGI, very different than the current non-human-like AI/AGI research. This video created after the AGI-2025 annual research conference more reflects my philosophy about creating a safe, intellectual AGI as opposed to the brute force hyperscaled AGIs (but amazing, e.g., ChatGPT) the world is currently creating -- https://www.youtube.com/watch?v=-r3YxKGdxzk
2022:
-A New Class of AI -- Navigation Map-Based Cog Architecture
In this paper a new class of artificial intelligence based on the mammalian brain is described.
It does not function like an artificial neural network nor like a large language model (LLM, e.g., ChatGPT) nor like a traditional symbolic AI program. Rather, it uses spatial navigation maps to
represent the world, learn about the world and operate on the world. This model provides a useful (i.e., supports the data) explanation of mammalian, primate and human brain evolution, operation and
dysfunction. As well, it provides a different path towards AGI than that provided by LLMs.
(Image above created by editors at AI Journal for issue's Table of Contents/Titles page illustration --Schneider,
H., Navigation Map-Based Artificial Intelligence, AI, 2022, 3(2), 434-464.)
article (invited, published open-access): doi:10.3390/ai3020026
-An Analogical Inductive Solution to the Grounding
Problem
In this paper inductive analogical reasoning is shown to emerge due to a small modification
(corresponding to a modest mutation in a biological brain) giving the architecture vastly more power in solving day to day problems. In fact, analogies may power much of human cognition. At the same
time, this property allows more robust grounding of the architecture. Grounding of an AI with a real environment may be necessary to enable the realization of advanced and advantageous AI's and AGI's. Analogical reasoning allows grounding with more
advanced concepts.
Schneider, H. An Analogical Inductive Solution to the Grounding Problem. Cognitive Systems Research, 2023, vol 77, pp174-216.
article (not open-access): https://doi.org/10.1016/j.cogsys.2022.10.005
preprint (free):
https://github.com/howard8888/insomnia/blob/master/analogical%20inductive%20preprint.pdf
2023:
-Compositionality
Neural networks have a difficult time demonstrating compositionality (so do all mammals, except for humans). BICA*AI Conference 2023 presentation demonstrating how a cognitive architecture based on the human brain (named the "CCA6") shows the mechanisms (at the level of the cortical minicolumn) that allow the modern human brain to be able to automatically perform causal reasoning, inductive analogical reasoning and compositional language processing. It is shown that how with relatively few genetic modifications from the chimpanzee-human last common ancestor brain the human brain emerged with these properties (as well as predicting the emergence of psychosis in humans). The Python software implementation of the equations behind the CCA6 is a straightforward one at present, but nonetheless, represents a very different type of AI than traditional neural networks or large language models (e.g., ChatGPT). Like the human brain, the CCA6 can learn with minimal data and can learn in real time (it does not require terabytes of data nor massive, off-line computer resources for learning). Like the human brain, the CCA6 is fully grounded.
Schneider, H. A Brain-Inspired Cognitive Architecture (BICA) Approach to the Neurosymbolic Gap. In Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2023. Studies in Computational Intelligence, pp. 775-786, Springer Nature 2024.
-online: https://doi.org/10.1007/978-3-031-50381-8_84
-preprint pdf: https://github.com/howard8888/insomnia/blob/master/neurosymbolic_bica_2023.pdf
-Architecture discussed in this paper: CCA5
Schneider, H. The Emergence of Compositionality in a Brain-Inspired Cognitive Architecture, Cognitive Systems Research, vol. 86, 2024.
-online: https://doi.org/10.1016/j.cogsys.2024.101215 (not published under open access; university/corporate library subscription required to access for free)
-preprint: https://easychair.org/publications/preprint/l6wh (slightly different than edited article; free to download)
-Architecture discussed in this paper: ChatGPT, CCA6
2024:
-AGI
-Elements of the CCA6 architecture have been enhanced past human brain inspiration level into a new CCA7 architecture. In the CCA7 the question is asked that if human brain evolution were to continue in the appropriate environments, what simple mutations could further enhance the core cognitive abilities of the brain and by extension the CCA7 architecture? (While adding a calculator module or a full LLM to the brain would obviously boost cognition (and this hybridization may be done in the CCA8), this is not done here. Rather, the concern is enhancing the core cognitive abilities without adding any external modules).
-Also of interest, given that the internal representations of the CCA7
architecture are navigation maps, a robot car embodiment is being implemented. A Python simulation of the CCA7 running on a desktop computer communicates via ordinary Wi-Fi to the car which has a
Wi-Fi chip/board going to an Arduino board which is then wired into the robot car's electronics. Infrared detectors, RGB and an inertial sensor provide a sensory input
stream.
Schneider, H. The Emergence of an Enhanced Intelligence in a Brain-Inspired
Cognitive Architecture, Frontiers in Computational Neuroscience, 2024, 18:1367712.
https://www.frontiersin.org/articles/10.3389/fncom.2024.1367712/full
-Architecture discussed in this paper: CCA7
-GitHub repository -- https://github.com/OlivierGeorgeon/osoyoo
Schneider, H., Georgeon, O.L. Grounding
Artificial General Intelligence with Robotics: The PetitCat Project, In Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2024: Proceedings of the 15th Annual Meeting of the BICA Society, Springer Nature
2024.
slides: https://easychair.org/smart-slide/slide/QFRw#
preprint PDF: https://github.com/howard8888/insomnia/blob/master/petitcat_paper.pdf
online: https://link.springer.com/chapter/10.1007/978-3-031-76516-2_36
Schneider, H. Simulation of Non-Primate Intelligence vs Human
Intelligence vs Superhuman AGI vs Alien-like AGI. In: Thorisson, K.R., Isaev, P., Shekhlar, A. (eds) Artificial General Intelligence, AGI 2024, Lecture Notes in Computer Science -
LNCS,vol 14951, Springer Nature, 2024.
-Architecture discussed in this paper: CCA1, CCA6, CCA7, ChatGPT, GPT4
preprint PDF: https://github.com/howard8888/insomnia/blob/master/agi2024preprint.pdf
online: https://link.springer.com/chapter/10.1007/978-3-031-65572-2_17
poster: https://github.com/howard8888/insomnia/blob/master/Poster_AGI24.pdf
2025:
-Issue #1 in Integrating an LLM/LRM Module into the CCA7 Architecture:
Controlling the overall cognitive architecture
Theory of Mind operationalized-as-a-mechanism equations and instinctive primitives allow an AGI-potential architecture to yield much more human-like consistent behavior. (AGI-2025 presentation)
-The resulting system becomes much harder to give direction to than, for example, an AI auto-pilot (e.g., fly or drive from location A to
location B) or an AGI system utilizing simple needs and reward (e.g., hungry then get food, and so on).
-The control system of the CCA7 was revamped into a Goal Module and associated circuitry more appropriate for a human-level AGI. While Theory of Mind (i.e., understanding what someone else is
thinking about this or that) is used normally for psychological evaluations or to evaluate the level of sophistication of AI/AGI systems, I repurposed this psychological ability into the core of an
AGI control system for the CCA7. The result was a cognitive architecture with a very flexible, nuanced, human-like goal/control system.
-This work is applicable to 'normal' AI such as LLMs (i.e., what is typically meant by "AI" these days). The problem with using LLMs for real-world robotics is that they work perfectly for a few minutes or hours and then lose coherent control. The control system presented above may possibly solve this problem.
-This work was presented at AGI-2025 in Reykjavik, and published in its proceedings:
Schneider, H. (2026). Theory of Mind as a Core Component of Artificial General Intelligence.
https://doi.org/10.1007/978-3-032-00800-8_16
2025:
-Issue #2 in Integrating an LLM/LRM Module into the CCA7 Architecture:
How to represent information?
-There is an issue of what information will be presented to the LLM/LRM module, and this forced a review of how the CCA7 architecture is representing information. Although spatially-based navigation maps are the CCA7 architecture's common data element, in fact all data, i.e., the what, the where, the how, and so on, are all integrated into common navigation maps. In contrast in the mammalian brain, e.g. human brain, visual and auditory (and other) sensory inputs diverge into a ventral "what" pathway and a dorsal "where/how" pathway. These pathways were simulated with results showing that this representational segregation may not just be an evolutionary relic but a computationally advantageous principle worth implementing in the CCA7.
-This work, titled "The Two-Stream Hypothesis as a Foundation for Human-like Memory and Action" was presented at the Brain Inspired Cognitive Architecture (BICA-2025).
Schneider, Howard. "The Two-Stream Hypothesis as a Foundation for Human-Like Memory and Action."
https://link.springer.com/chapter/10.1007/978-3-032-13977-1_38
https://github.com/howard8888/bica25/blob/main/BICA_2025_Source_26_updated.pdf
2026:
-Simulation of the brain of a neonatal goat via the CCA8 Architecture.
-RCOS (Robotic Cognitive Operating System) allowing the CCA8 to control a robotic embodiment.
Adult Mountain Goat (Oreamnos americanus) with recently born kid (i.e., calf). The neonatal goat kid can walk within minutes of its birth, and by one week can climb most places its mother can.
-Overview: README file: https://github.com/howard8888/workspace/blob/main/README.md
-The CCA8 architecture combines an LLM/LRM with an enhanced CCA7 architecture.
(Note: The CCA8 will work without the LLM. The latter is currently used to simulate a world model for training. More powerful cognitive uses will be
considered in the near future.)
-The CCA8 architecture is used to simulate the brain of a neonatal mountain goat.
-The goal of the neonatal-goat simulation is fourfold:
1. Model how the mammalian brain works (i.e., proper mechanisms for 'how does a thought occur?', 'how does a plan occur?', etc).
2. Model how the primate and human brains evolutionarily emerged (i.e.,
credible-enough, evidence-supported mechanisms that yielded full causal and analogical reasoning and robust compositional reasoning/language; note: crown primates did *not* emerge from artiodactyls,
i.e., goat-like animals, but we use the neonatal mountain-goat simulation as a pragmatic non-primate placental model).
3. Model the development of psychiatric disorders in humans. For example, psychotic disorders are rare in chimpanzees but relatively common
over the lifespan of humans as predicted independently and theoretically by the architecture (see papers I previously wrote on this below). For example, based purely theoretically on the CCA7
architecture, dysfunction in right-hemisphere language, representational, or social-cognitive circuitry could produce autism-spectrum-like patterns of cognition and behavior.
4. Develop what I have started to call a Robotic Cognitive Operating System (RCOS). You cannot take an intelligent LLM/LRM (e.g., ChatGPT, Claude or Gemini) and put it into a robot and expect the robot to be intelligent. It hasn't happened at the time of this writing, and probably won't without another layer similar to the RCOS. The RCOS sits above the ROS 2 or vendor SDK layer.
-The first paper on the CCA8 is pending.
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Recent Conference Presentations Poster Presentation: Poster Presentation: Case Presentation: Poster Presentation: Poster Presentation: Nuclear Medicine Grand Rounds: Brain Spect Imaging in Psychiatry Brain Spect Imaging in Psychiatry Chair of Session: Artificial Intelligence, Pattern Recognition, Clustering and Applications Meaningful-Based Cognitive Architecture Subsymbolic Versus Symbolic Data Flow in the Meaningful-Based Cognitive Architecture Causal Cognitive Architecture 1 (CCA1): Integration of Connectionist Elements into a Navigational Framework Schneider, H.
2020 Annual International Conference on Brain-Inspired
Cognitive 2020 BICA*AI Pre-Conference August 30, 2020 Please click this link for the slides intended for the
Pre-Conference:
Levels of Intelligence in Artificial and Biological
Systems: An Improved Rating Scale
Causal Cognitive Architecture 2 (CCA2): A Solution to the
Binding Problem
Analogical Problem Solving
The Navigation Map-Based Cognitive
Architecture—A New Class of Artificial Intelligence An Inductive Analogical Solution to the Grounding Problem. 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Sept 22-25, 2022, held at Universidad de Guadalajara, Mexico video: https://vimeopro.com/bicasociety/bica2022/video/759325233 Architecture discussed in this presentation: CCA3/CCA4/CCA5 Winner of Award for Paper for "Best Innovative Work" at BICA*AI 2022
Alien versus Natural-like Artificial General Intelligences AGI-23: The 16th Annual AGI Conference June 2023, KTH Royal Institute of Technology, Stockholm, Sweden
A Brain-Inspired Cognitive Architecture (BICA) Approach to the Neurosymbolic Gap 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Oct, 2023, Ningbo University, Ningbo, China Architectures discussed in this presentation: CCA5
The Emergence of Compositionality in A Brain-Inspired Cognitive Architecture (BICA) 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Oct, 2023, Ningbo University, Ningbo, China Architectures discussed in this presentation: CCA6,
ChatGPT
Grounding Artificial General Intelligence with Robotics: The PetitCat Project. 2024 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Aug 12-15/2024, co-located with AGI-24, University of Washington, Seattle, Washington, USA. Architectures discussed in this presentation: Arduino, CCA7, GPT3.5-Turbo API slides: https://easychair.org/smart-slide/slide/QFRw#
Simulation of Non-Primate Intelligence vs Human Intelligence vs Superhuman AGI vs Alien-like AGI. Schneider, H. 2024 17th Annual AGI Conference (AGI-24), Aug 12-16/2024, University of Washington, Seattle, Washington, USA. Architectures discussed in this presentation:CCA7, GPT3.5-Turbo API, GPT4 poster: https://github.com/howard8888/insomnia/blob/master/Poster_AGI24.pdf pre-conference video: https://drive.google.com/file/d/1-FCJMhxq3C7yMuuVRvTRlcQ56gzta1wS/view
.... to avoid further duplications see publications list below as publications associated with conferences are also presented at the conference -- links to slides, code or video are included below now....
Recent Mental Health Related Presentations GPPA 25th Annual
Conference GPPA 26th Annual Conference GPPA Winter 2014 Educational Teleconference Series OMA
Section on Primary Care Mental Health Wednesday Night Series OMA (Ontario Medical Association) Section on Primary
Care Mental Health
ISAN (International Society of Applied Neuroimaging) How the Brain Evolved, How the Brain Works, and Building an AGI Based on the Brain https://github.com/howard8888/insomnia/blob/master/isanmeet.pdf
Recent Publications relating to Psychotherapy, Psychiatry and Neuropsychiatry Schneider, H., Bupropion as First-Line Antidepressant Treatment of Unipolar Depression?, GP Psychotherapist, ISSN 1918-381X, 2009, Vol. 16, No. 3, p 2-4. Schneider, H. Thornton, J.F., Freeman, M.A., McLean, M.K. and van Lierop, M., Case Report: Low-Dose Brain 3D SPECT Scanning, GP Psychotherapist, ISSN 1918-381X, 2009, Vol. 16, No. 4, p 9-11. Schneider, H., Pregabalin for Anxiety Disorders, GP Psychotherapist, ISSN 1918-381X, 2009, Vol. 16, No. 5, p 8-9. Schneider, H., Thornton, J., Tarzwell, R., Freeman, M., McLean, M. and van Lierop, M., 3D brain SPECT imaging as an aid in the management of resistant depression, International Journal of Psychiatry in Clinical Practice, 2010; 14(Suppl 1): 36-37 Schneider, H., GPPA 2010 Winter Educational Teleconference Series, GP Psychotherapist, ISSN 1918-381X, 2010, Vol. 17, No. 1, p 3-5. Schneider, H., Aiming for Remission in Depression – Psychotherapy plus the Combination of Antidepressant Medications at the Start of Treatment,GP Psychotherapist, ISSN 1918-381X, 2010, Vol. 17, No. 2, p 5-9. Schneider, H. and Tarzwell, R., Aripiprazole - An Atypical Atypical Antipsychotic, GP Psychotherapist, ISSN 1918-381X, 2010, Vol. 17, No. 3, p 7-8. Schneider, H., McLean, M., Freeman, M., Thornton, J., van Lierop, M. and Tarzwell, R., 3D Brain SPECT of ADHD Presenting as Borderline Personality Disorder, ADHD Attention Deficit and Hyperactivity Disorders, Vol 3, No. 2, P. 138, June 2011 Schneider, H., Management of Obsessive Compulsive Disorder, GP Psychotherapist, ISSN 1918-381X, 2011, Vol. 18, No. 1, p 7-10. Schneider, H. and Tarzwell, R., Introduction to Neuropsychiatry, GP Psychotherapist, ISSN 1918-381X, 2011, Vol. 18, No. 2, p 3-6. Schneider, H. and Tarzwell, R., Diagnosis and Management of Borderline Personality Disorder, GP Psychotherapist, ISSN 1918-381X, 2011, Vol. 18, No. 3, p 3-6. Schneider, H., Psychopharmacology Corner: Failure of Antidepressants, GP Psychotherapist, ISSN 1918-381X, 2011, Vol. 18, No. 3, p 13-14. Schneider, H., Psychopharmacology Corner: Atypicals for Dementia?, GP Psychotherapist, ISSN 1918-381X, 2012, Vol. 19, No. 1, p 5-6. Schneider, H., Management of Adult ADHD, GP Psychotherapist, ISSN 1918-381X, 2012, Vol. 19, No. 2, p 5-11. Schneider, H., Psychopharmacology Corner: Refractory OCD, GP Psychotherapist, ISSN 1918-381X, 2012, Vol. 19, No. 2, p 18-19. Schneider, H., Psychopharmacology Corner: Unstable Depression, GP Psychotherapist, ISSN 1918-381X, 2012, Vol. 19, No.32, p 12-14. Schneider, H., Psychopharmacology Corner: Extreme Anxiety, GP Psychotherapist, ISSN 1918-381X, 2013, Vol. 20, No. 1, p 9-10. Schneider, H., Psychopharmacology Corner: Traumatic Brain Injury, GP Psychotherapist, ISSN 1918-381X, 2013, Vol. 20, No. 2, p 8-10. Schneider, H., Psychopharmacology Corner: Single Episode of Antidepressant-Induced Mania, GP Psychotherapist, ISSN 1918-381X, 2013, Vol. 20, No. 3, p 8-11. Thornton, J., Schneider, H., McLean, M. et al, Improved Outcomes Using Brain SPECT Guided Treatment vs Treatment as Usual in Community Psychiatric Outpatients: a Retrospective Case-Control Study, Journal of Neuropsychiatry & Clinical Neurosciences 2014; 26:51-56. http://neuro.psychiatryonline.org/doi/abs/10.1176/appi.neuropsych.12100238 Schneider, H., Psychopharmacology Corner:
Schizoaffective Disorder, GP Psychotherapist, ISSN 1918-381X, 2014, Vol. 21, No. 1, p 10-12. Raji, C., Tarzwell, R., Pavel, D., Schneider,H., Uszler,M., Thornton,J., van Lierop, M., Cohen, P., Amen,D. and Henderson, T., (2014) Clinical Utility of SPECT Neuroimaging in the Diagnosis and Treatment of Traumatic Brain Injury: A Systematic Review. PLoS ONE 9(3): e91088. doi: 10.1371/journal.pone.0091088 http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0091088 Schneider, H., Psychopharmacology Corner: Complex Mood and Personality Disorders , GP Psychotherapist, ISSN 1918-381X, 2014, Vol. 21, No. 2, p 11 - 13. Schneider, H., Psychopharmacology Corner: Treating ADHD in the Family, GP Psychotherapist, ISSN 1918-381X, 2014, Vol. 21, No. 3, p 4 - 6. Schneider, H., Thornton, J., Freeman, M. et al, Conventional SPECT versus 3D Thresholded SPECT Imaging in the Diagnosis of ADHD: A Retrospective Study, Journal of Neuropsychiatry & Clinical Neurosciences 2014: 26:335-343. http://neuro.psychiatryonline.org/doi/abs/10.1176/appi.neuropsych.12110280 Schneider, H., Psychopharmacology Corner: Untreatable Depression, GP
Psychotherapist, ISSN 1918-381X, 2015, Vol. 22, No. 1, p 5 - 7. Schneider, H., Psychopharmacology Corner: Mild Traumatic Brain Injury, GP Psychotherapist, ISSN 1918-381X, 2015, Vol. 22, No. 3, p 3 - 7. Schneider, H., Psychopharmacology Corner: Delusional Disorder, GP Psychotherapist, ISSN 1918-381X, 2016, Vol. 23, No. 1, p 3- 6. Schneider, H., Psychopharmacology Corner: A Case of Chronic Pain, GP Psychotherapist, ISSN 1918-381X, 2016, Vol. 23, No. 2, p 4- 7. Schneider, H. and Xie, L., Algorithm and Method for Automated Acquisition of Medical History, Proceedings of 2nd International Conference on Health Informatics and Medical Systems 2016 p 159 - 160, ISBN 1-60132-437-5, CSREA Press. Schneider, H. and Xie, L., Algorithm and Method for Automated Processing of Medical E-mails, Proceedings of 2nd International Conference on Health Informatics and Medical Systems 2016 p 161-162, ISBN 1-60132-437-5, CSREA Press. Schneider, H., Psychopharmacology Corner: Tardive Dyskinesia, Medical Psychotherapy Review, ISSN 2370-3083, 2016, Vol. 23, No. 3,
p3.-7. Schneider, H., Psychopharmacology Corner: Recurrent Unipolar Depression in the Older
Patient, Medical Psychotherapy Review, ISSN 2370-3083, 2017, Vol. 24, No. 1, p 7-10. Schneider, H. and Shaw, G.Y., Psychopharmacology Corner:
Insomnia - Part 2, Medical Psychotherapy Review, ISSN 2370-3083, 2017, Vol. 24 , No. 3, p 4- 8. Schneider, H. and Shah, S., Psychopharmacology Corner: EmergencyTreatment of
Agitation, Medical Psychotherapy Review, ISSN 2370-3083, 2018, Vol. 25 , No. 1, p 7 - 11. |
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Schneider, H., Non-Hybrid Meaningful-Based Learning System Using a Configurable Network of Neural Networks.
Proceedings of the 2018 International Conference on Artificial Intelligence pp 96-102; Aug 2018.
Schneider, H., Meaningful-Based Cognitive Architecture. Procedia Computer Science, 9th Annual International
Conference on Biologically Inspired Cognitive Architectures, BICA 2018,edited by Samsonovich, A.V., 2018, 145:471-480. https://www.sciencedirect.com/science/article/pii/S1877050918323974 Schneider, H., Psychopharmacology Corner: Can We Prevent Schizophrenia?, Medical Psychotherapy Review, ISSN 2370-3083, 2018, Vol. 25, No. 2, p 4 -7.https://github.com/howard8888/insomnia/blob/master/Fall%20MDPAC%202018.pdf Schneider, H., Psychopharmacology Corner: CANMAT Clinical Guidelines for the Management of Major Depressive Disorder, Medical Psychotherapy Review, ISSN 2370-3083, 2019, Vol. 26, No. 1, pp 4 - 9. https://github.com/howard8888/insomnia/blob/master/MDPAC_Spring2019_26_1.pdf
Schneider, H. (2020)
Subsymbolic Versus Symbolic Data Flow in the Meaningful-Based Cognitive Architecture. In: Samsonovich A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent
Systems and Computing, vol 948. Springer, Cham
Schneider, H. (2020) Schizophrenia and the Future of Artificial Intelligence. In: Samsonovich A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham https://doi.org/10.1007/978-3-030-25719-4_62
Schneider, H. (2020) Emergence of Belief Systems and the Future of Artificial Intelligence. In: Samsonovich A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham https://doi.org/10.1007/978-3-030-25719-4_63
Schneider, H. and Kapustin, D. Psychopharmacology Corner: Diagnosing Bipolar Disorder, Medical Psychotherapy
Review, ISSN 2370-3083, 2019, Vol. 26 , No. 2, pp 4 -8.
Schneider, H. The Meaningful-Based Cognitive Architecture Model of Schizophrenia, Cognitive Systems Research, 2020, vol 59 pp 73-90. https://doi.org/10.1016/j.cogsys.2019.09.019 Architecture discussed in this paper: pre/CCA1
Kapustin, D. and Schneider, H. Psychopharmacology Corner: CANMAT Guidelines for Managing Bipolar Disorder, Medical Psychotherapy Review, ISSN 2370-3083, 2020, Vol. 27 , No. 1, pp 4-10. https://github.com/howard8888/insomnia/blob/master/Journal_Spring%202020_27_1.pdf
Schneider, H. Psychopharmacology Corner: Panic Disorder, Medical Psychotherapy Review, ISSN 2370-3083, 2020, Vol. 27, No. 2, pp 4-10. https://github.com/howard8888/insomnia/blob/master/Journal_Winter_2020.pdf
Schneider, H. Causal Cognitive Architecture 1: Integration of Connectionist Elements into a Navigation-Based Framework. Cognitive Systems Research, 2021, vol 66, pp 67-81. https://github.com/howard8888/cca1_july2020/blob/master/Causal%20Cognitive%20Architecture%201.pdf https://www.sciencedirect.com/science/article/pii/S1389041720300954?via%3Dihub Architecture discussed in this paper: CCA1
Schneider, H. Psychopharmacology Corner: Health Canada Jan 6, 2021 Summary
Safety Review: Post-SSRI/SNRI Sexual Dysfunction, Medical Psychotherapy Review, ISSN 2370-3083,
2021, Vol. 28, No. 1, pp 4-5.
Schneider, H. (2021). Chapter: Applying Principles from Medicine -
What can AI Learn from Medicine? In Lidströmer, N., Ashrafian, H. (Eds), Artificial Intelligence in Medicine, Springer Nature, Cham. ISBN
978-3-030-64573-1. pdf: https://github.com/howard8888/insomnia/blob/master/AIM_chapter_medicine_to_AI.pdf video accompanying the chapter: https://vimeo.com/573088152
Schneider, H. (2021). Chapter: Artificial Intelligence in Schizophrenia. In Lidströmer, N., Ashrafian, H. (Eds), Artificial Intelligence in Medicine, Springer Nature, Cham. ISBN 978-3-030-64573-1. https://doi.org/10.1007/978-3-030-58080-3_214-1
Schneider, H., Psychopharmacology Corner: Deprescribing Benzodiazepine
Receptor Agonists, Medical Psychotherapy Review, ISSN 2370-3083, 2021, Vol. 28, No. 2, pp4 -
8.
Schneider, H. Causal
Cognitive Architecture 2: A Solution to the Binding Problem. In: Klimov, V.V., Kelley, D.J. (eds) Biologically Inspired Cognitive Architectures 2021. BICA 2021. Studies in Computational Intelligence,
2022, vol 1032, Springer, Cham. video:https://www.youtube.com/watch?v=5hx9BeWjWow Architecture discussed in this paper: CCA2
Schneider, H. Causal Cognitive Architecture 3: A Solution to the Binding Problem. Cognitive Systems Research, 2022, vol 72, pp. 88-115. video tutorials (scroll down to bottom of the paper):https://doi.org/10.1016/j.cogsys.2021.10.004 Architecture discussed in this paper: CCA3
Thornton, J., Schneider, H., Cohen, P.F., DeBruin, S., Uszler, J.M., Siow, Y-H., McLean, M., van Lierop, M.J., Pavel, D.G.,
Henderson, T.A. Longitudinal SPECT Neuroimaging as an Indication of Improvement in Psychiatric Disorders in A Community Practice, Frontiers in Psychiatry 2022, 13:787186.
doi: 10.3389/fpsyt.2022.787186
Schneider, H. Navigation Map-Based Artificial
Intelligence. AI, 2022, 3(2), 434-464. Architecture discussed in this paper: CCA4
Schneider, H., The Navigation Map-Based Cognitive Architecture—A New Class of Artificial Intelligence. In Corchado, F.F.R., Samsonovich,A.V. (eds) The 2022 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence, Procedia Computer Science,vol 213, pp 263-270. online and article pdf: https://doi.org/10.1016/j.procs.2022.11.065 video presentation: https://vimeopro.com/bicasociety/bica2022/video/759324697 slides: https://github.com/howard8888/insomnia/blob/master/new_class_of_AI.pdf Architecture discussed in this paper: CCA3
Schneider, H. Analogical Problem Solving in a Cognitive Architecture. In Goertzel, B. et al.(eds) Artificial General Intelligence 15th International Conference, AGI 2022, Lecture Notes in Artificial Intelligence (LNAI), 13539, 2022, Springer Nature, pp. 100 - 112. https://link.springer.com/book/9783031199066 pdf: https://github.com/howard8888/insomnia/blob/master/agi2022%20proof.pdf video: https://vimeo.com/735422109 Architecture discussed in this paper: CCA3
Schneider, H. An Inductive Analogical Solution to the Grounding Problem. Cognitive Systems Research, 2023, vol 77, pp174-216. online and article pdf: https://doi.org/10.1016/j.cogsys.2022.10.005 pdf of preprint: https://github.com/howard8888/insomnia/blob/master/analogical%20inductive%20preprint.pdf prelude to this video: https://vimeopro.com/bicasociety/bica2022/video/759324697 video of presentation: https://vimeopro.com/bicasociety/bica2022/video/759325233 Architecture discussed in this paper: CCA5
Schneider, H., Boltuc, P., Alien versus Natural-like Artificial General Intelligences, In Hammer, P., Alirezaie, M., Strannegard, C. (eds) Artificial General Intelligence, AGI 2023, Lecture Notes in Artificial Intelligence - LNCS vol. 13921, Springer Nature, 2023. online: https://link.springer.com/chapter/10.1007/978-3-031-33469-6_24 preprint pdf: https://agi-conf.org/2023/2023-accepted-papers/ Architectures discussed in this paper: ChatGPT,
GPT4, CCA5 Schneider, H. A Brain-Inspired Cognitive Architecture (BICA) Approach to the Neurosymbolic Gap. In Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2023. Studies in Computational Intelligence, pp. 775-786, Springer Nature 2024. online: https://doi.org/10.1007/978-3-031-50381-8_84 preprint pdf: https://github.com/howard8888/insomnia/blob/master/neurosymbolic_bica_2023.pdf Architecture discussed in this paper: CCA5
Schneider, H. The Emergence of Compositionality in a Brain-Inspired Cognitive Architecture, Cognitive Systems Research, vol 86, 2024. online (you need a university/corporate subscription to access or else physical library access; not published under open access): https://doi.org/10.1016/j.cogsys.2024.101215 preprint pdf (free access; slightly different than peer reviewed, edited article): https://easychair.org/publications/preprint/l6wh Architecture discussed in this paper: ChatGPT, CCA6
Schneider, H. The Emergence of Enhanced Intelligence in a Brain-Inspired Cognitive Architecture, Frontiers in Computational Neuroscience, 2024, 18:1367712. online: https://www.frontiersin.org/articles/10.3389/fncom.2024.1367712/full Architecture discussed in this paper: CCA7 GitHub: https://github.com/OlivierGeorgeon/osoyoo
Schneider, H., Georgeon, O.L. Grounding Artificial General Intelligence with Robotics: The PetitCat Project, Short Technical Communication for presentation at BICA*AI 2024 In Samsonovich, A.V., Liu, T. (eds) Biologically Inspired Cognitive Architectures 2024: Proceedings of the 15th Annual Meeting of the BICA Society, Springer Nature 2024.Architecture discussed in this paper: CCA7slides: https://easychair.org/smart-slide/slide/QFRw# preprint PDF: https://github.com/howard8888/insomnia/blob/master/petitcat_paper.pdf online: https://link.springer.com/chapter/10.1007/978-3-031-76516-2_36
Schneider, H. Simulation of Non-Primate Intelligence vs Human Intelligence vs Superhuman AGI vs Alien-like AGI. Artificial General Intelligence, AGI 2024, . In: Thorisson, K.R., Isaev, P., Shekhlar, A. (eds) Artificial General Intelligence, AGI 2024, Lecture Notes in Computer Science - LNCS, vol 14951, Springer Nature, 2024. Architecture discussed in this paper: CCA1, CCA6, CCA7, ChatGPT, GPT4 preprint PDF: https://github.com/howard8888/insomnia/blob/master/agi2024preprint.pdf online: https://link.springer.com/chapter/10.1007/978-3-031-65572-2_17 poster: https://github.com/howard8888/insomnia/blob/master/Poster_AGI24.pdf
Schneider, H. (2025). Theory of Mind as a Core
Component of Artificial General Intelligence. In: Iklé, M., Kolonin, A., Bennett, M. (eds) Artificial General Intelligence. AGI 2025. Lecture Notes in Computer Science(), vol 16058. Springer,
Cham. https://doi.org/10.1007/978-3-032-00800-8_16 -There may be a streamed video of the actual live presentation, but below is a link to a pre-conference video required by the conference (i.e., in case the presenter cannot attend the organizers wanted a video of the presentation ahead of time): https://www.youtube.com/watch?v=3BHgaF1Ipdw Schneider, H. (2025). The Two-Stream Hypothesis as a Foundation for Human-like Memory and Action. In Biologically Inspired Cognitive Architecture Meeting, pp. 507-519. Cham: SpringerNature, 2025. Architecture discussed in this paper: CCA7 https://github.com/howard8888/bica25/blob/main/BICA_2025_Source_26_updated.pdf
CCA8 Software:-Compiled software runs under Windows 11. (Will run under most versions of Linux as well, pending some lower level changes, many already in the code.) Most CPU's ok. GPU not required. LLM API key for OpenAI, Anthropic or Google (optional but required for integrated model). 32GB RAM (16GB for CCA8). 2TB SSD (1 TB for CCA8). Optional: Internet access for LLM API (optional -- CCA8 will function without LLM access.) -The CCA8 includes an internal world model simulator but will also run with real-world robotic embodiments. RCOS (Robotic Cognitive Operating System) layer of the CCA8 will work with the PetitCat robotic car at this time, and quadruped support is expected by end 2026/2027. Humanoid embodiments will be supported by RCOS in the CCA9 primate simulation expected early 2027. |
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