Interpretable AI (IAI) for applications in social management, natural languge processing, finance and decision support systems.
Anton Kolonin, Ph.D. https://lifeboat.com/ex/bios.anton.kolonin
- Introduction, General AI, Interpretable AI - state of the art (3)
- Graph-based knowledge representations and semantics (2.5)
- https://blog.singularitynet.io/graphs-part-1-how-singularitynet-will-leverage-opencog-aigents-b21e581cf9f8 (cached)
- https://aigents.com/graphs.html?file=%2Ftest%2Fgraphs%2Fontology.txt&layout_directions=3&layout_balance=50
- https://aigents.com/papers/2018/hyper-multi-graphs-2018.pdf
- https://aigents.com/papers/2025/ontologies-webstructor-aigents-2025.pdf
- https://aigents.com/papers/2021/data4agi.pdf
- https://schema.org/docs/schemas.html
- https://schema.org/docs/gs.html#microdata_embedded
- https://www.wikidata.org/wiki/Q937
- https://dbpedia.org/page/Albert_Einstein
- Videos
- Consciousness and psyche and their application aspects(2)
- Neuro-symbolic architectures and experiential learning (1)
- https://github.com/aigents/iai/blob/main/docs/2022/towards-interpretable-neurosymbolic-agi-2022.pdf
- https://aigents.com/papers/2022/towards-interpretable-neurosymbolic-agi-2022.pdf
- https://aigents.com/papers/2020/Towards-Interpretable-AGI-2020-en.pdf
- Videos
- https://www.youtube.com/watch?v=OmKDdEUX0TY (short, English)
- https://www.youtube.com/watch?v=AV_QQ7fqalw (long, English)
- https://www.youtube.com/watch?v=2LPLhJKh95g (very short, demo, Russian)
- Cognitive-behavioral model based on social evidence restricted by resources (3)
- Collective Intelligence (1)
- Social management applications and reputation systems (2)
- https://github.com/aigents/iai/blob/main/docs/2019/Social-Computing-with-Online-Communities-2019.pdf
- https://aigents.com/papers/2019/Social-Computing-with-Online-Communities-2019.pdf
- https://aigents.com/papers/2022/bigsocialdata_kolonin_2022.pdf
- https://github.com/aigents/iai/blob/main/docs/2023/proof-of-reputation-2023.pdf
- https://aigents.com/papers/2023/proof-of-reputation-2023.pdf
- https://aigents.com/papers/2023/simulating-societies-2023.pdf
- Videos
- Some practical DS/ML aspects Dec 9
- Splitting data sets train/validation/test\
- Data leakage (missing field data in test/train + using train data in test orr vice versa)
- Knowing data/label distributions
- Overfitting (wrong splitting, data leakage, too many features)
- Knowing lower and upper baselines (const const, const derivative, periodic, random, overfitting)
- Artificial intelligence for quantitative finance (1) Dec 9
- https://github.com/aigents/iai/blob/main/docs/2022/ai4cryptofinance2022.pdf
- https://github.com/aigents/iai/blob/main/docs/2023/adaptive-active-market-making-2023.pdf
- https://aigents.github.io/inlp/2022/slides/
- https://singularity-dao.github.io/agi-fintech/
- https://aigents.com/papers/2022/ai4cryptofinance2022.pdf
- https://aigents.com/papers/2023/adaptive-active-market-making-2023.pdf
- Videos
- Clustering and segmentation for applications (1) Dec 16
- Interpretable natural lanuaguage processing (3)
- https://github.com/aigents/pygents/blob/main/docs/2023/inlp-2023.pdf Dec 23 (if time permits after defence)
- RAG/TAG/GraphRAG/TSAG/... https://aigents.com/papers/2025/ontologies-back-2025.pdf
- Videos
- Decision support systems based on interpretable AI (1)
- Data structures and methods for interpretable artificial general intelligence (2)
- Process mining and predictive process-based modeling (1)
- Summary, bottom lines, question answering (1)
- LLM-enabled engineering
- LLM-enabled test-driven software development
- VLSI design with LLMs for code and test generation and code verification
- https://arxiv.org/abs/2401.13266
- https://arxiv.org/abs/2504.03711
- https://arxiv.org/html/2312.08617v4
- https://arxiv.org/html/2503.15112v1
- https://dl.acm.org/doi/10.1145/3715324
- https://www.mdpi.com/2079-9292/14/1/120
- https://semiengineering.com/llm-powered-automatic-vlsi-design-flow-tuning-framework/
- https://www.researchgate.net/publication/392200360_Recent_Advances_in_VLSI_Very-Large-_Scale_Integration_Design_Techniques
- Active-Memory Augmented Generation (AMAG) - LLM coupled with database (RRBMS or OODB or GraphDB) using tooling framework (LangChain) for retrieval and amendment of dynamic knowledge
- Framework: https://python.langchain.com/docs/integrations/tools/
- Domains:
- Contact Manager
- Calendar/Diary
- Smart Home
- Artificial General Intelligence (AGI) and Experientiall Learning (EL)
- Neuro-symbolic RL for adaptive robotics based on Open AI Gym environment
- https://arxiviq.substack.com/p/intuitor-unlocking-ai-reasoning-with
- https://link.springer.com/chapter/10.1007/978-3-030-93758-4_12
- https://aigents.com/papers/2021/NeuroSymbolicExperientialLearningKolonin.pdf
- https://arxiv.org/abs/2509.07009
- https://github.com/aigents/aigents-java/tree/master/src/main/java/net/webstructor/agi
- https://github.com/aigents/aigents-python/blob/main/aigents-python/opengymsock.py
- https://www.youtube.com/watch?v=OmKDdEUX0TY
- https://github.com/openai/gym
- https://github.com/openai/gym/wiki/Environments
- https://www.digitalocean.com/community/tutorials/getting-started-with-openai-gym
- https://gymnasium.farama.org/
- https://ale.farama.org/environments/
- https://github.com/mila-iqia/atari-representation-learning/blob/master/atariari/benchmark/ram_annotations.py
- https://en.wikipedia.org/wiki/Q-learning
- https://docs.pytorch.org/tutorials/intermediate/reinforcement_q_learning.html
- Decision support systems (DSS) for automatic process control systems (APCS) such as "Smart Home" or "Smart City"
- https://developers.home.google.com/apis#automation
- https://github.com/home-assistant
- https://www.home-assistant.io/dashboards/
- https://www.home-assistant.io/integrations/mcp/
- https://github.com/tevonsb/homeassistant-mcp
- https://www.researchgate.net/publication/311662442_Adaptive_Intelligent_Manufacturing_Control_Systems
- https://www.youtube.com/watch?v=Bg7wAwCGtl4
- https://www.citylearn.net/
- https://github.com/citylearn-project/CityLearn
- https://mchancan.github.io/projects/CityLearn/
- https://www.climatechange.ai/papers/iclr2023/2
- https://arxiv.org/abs/2405.03848
- https://arxiv.org/abs/2012.10504
- https://dl.acm.org/doi/10.1145/3360322.3360998
- https://keepfloyding.github.io/posts/data-explor-TEP-3/
- ARC-AGI benchmark, which measures general intelligence through skill acquisition efficiency
- Neuro-symbolic RL for adaptive robotics based on Open AI Gym environment
- Interpretable natural language modeling and unsupervised learning
- Deep grammar and ontology learning for ontology extraction from natural language texts in Chinese/English/Russian
- https://www.springerprofessional.de/en/programmatic-link-grammar-induction-for-unsupervised-language-le/17020348
- https://www.springerprofessional.de/en/unsupervised-language-learning-in-opencog/15995030
- http://langlearn.singularitynet.io/data/docs/
- https://arxiv.org/abs/2205.11443
- https://arxiv.org/abs/2303.02427
- https://www.youtube.com/watch?v=YY7lMVFWTzo
- https://www.youtube.com/watch?v=FzKMtNILmDk
- Social media text analysis for psycho-emotinal expressions of sentiment, emotions, intent, manipulation and cognitive distortions in social media for Chinese/Russian/English, or other languages, may be cross-lingual
- Social media text topic modeling and agenda mining correlated with psycho-emotinal expressions for Chinese/Russian/English, or other languages, may be cross-lingual
- Social media relationship graph extraction and annotation with psycho-emotinal expressions, or other languages, may be cross-lingual
- Conversation-based individual and group behavioral and psychological profiling
- Adaptive weak-supervised (advisor-supervised) NLP for content moderation (incremental text classification learning or textual reinforcement learning)
- https://aigents.medium.com/aigents-bot-for-telegram-groups-1dba32140047
- https://dzen.ru/a/X80Iv4-MeFPtsivI
- https://github.com/aigents/aigents-java/blob/master/src/main/java/net/webstructor/comm/telegram/Telegrammer.java#L427
- https://www.mathworks.com/help/stats/perform-text-classification-incrementally.html
- https://www.sciencedirect.com/science/article/abs/pii/S0957417420300245
- https://arxiv.org/abs/2104.11882
- Requirements
- Alerts to admins of a chat/group in respect to automatic or recommended bans/removals
- Explanation of reasons of bans/removals to chat admins, see https://arxiv.org/abs/2511.05969 and https://peerj.com/articles/cs-3699/
- Thresholds for specific chats/groups managed by their admins
- Threshold for automatic action (ban/removal)
- Threshold for alert to manager
- Option for chat/group admin to pin the post for ban/removal
- Ability to learn from chat/group admin actions (joint model across chats/groups)
- Ability to inspect/amend model for bot admin (not admins of chats/groups), see https://arxiv.org/abs/2511.05969 and https://peerj.com/articles/cs-3699/
- Alerts to admins of a chat/group in respect to automatic or recommended bans/removals
- Deep grammar and ontology learning for ontology extraction from natural language texts in Chinese/English/Russian
- Social computing applications in social media and multi-agent systems
- Reputation consensus for distributed ledger systems
- Reputation systems for marketplace security
- Publication on arxiv.org, medium.com, substack.com, github.com or similar blog/site, etc. - covering prior art, R&D done and its results
- Code with R&D results committed to github under open source license, reproducible and runnable with exhaustive how-to instructions
- Presentation slides uploaded/linked to either of the above
- In-person presentation in class
- https://www.scopus.com/authid/detail.uri?authorId=57021892200
- https://arxiv.org/search/?query=anton+kolonin&searchtype=author&source=header
- https://orcid.org/0000-0003-4180-2870
- https://scholar.google.com/citations?user=D0NehDUAAAAJ&hl=ru&oi=ao
- https://www.semanticscholar.org/author/A.-Kolonin/1847471
https://docs.google.com/document/d/1HCAhQkZsRRYH1P9HQU3c1zGBWwXKJbHswdghIubwNRA/