# Reasoning engine Projects at AI Tinkerers > Canonical HTML: https://aitinkerers.org/technologies/reasoning-engine > Markdown URL: https://aitinkerers.org/technologies/reasoning-engine.md > Technology record last updated: 2026-03-10T22:01:11Z > Generated: 2026-09-21T07:34:39Z The core AI system component: it applies logical rules (deductive, inductive, abductive) to a structured knowledge base, automating complex decision-making. A reasoning engine is the central intelligence for generative AI agents, explicitly mimicking human thought processes to solve complex problems. Its core components are the **Inference Engine** and the **Knowledge Base** (facts, rules, data). The Inference Engine applies three key methods: deductive, inductive, and abductive reasoning to derive new, high-accuracy conclusions. This process moves beyond simple pattern matching; it analyzes context, predicts outcomes, and provides detailed, logical responses. The result is automated decision support, delivering consistency and efficiency in fields like diagnostics, compliance, and business process automation. - Official technology site: https://www.techtarget.com/whatis/definition/reasoning-engine - Public AI Tinkerers demos and talks: 2 - Result page: 1 of 1 ## Recent Public Talks and Demos ### [Tackling the ARC challenge as a side quest](https://london.aitinkerers.org/talks/rsvp_bKwAmYkOurk) The Abstraction and Reasoning Corpus, designed by FranΓ§ois Chollet, is a set of visual problems, known to be one of the hardest reasoning benchmarks which state of the art LLMs fail at. We'll be sharing our work and learnings from tackling the ARC challenge (arcprize.org) during the summer, and how we applied the intuition behind our reasoning engine to this benchmark. We will be open-sourcing a couple of elements including the solver and dataset, which we will present during that demo. - Event context: AI Tinkerers London - December Meetup πŸŽ„ β€” 2024-12-04 β€” London - Public talk page: https://london.aitinkerers.org/talks/rsvp_bKwAmYkOurk ### [Data driven AI personas in Marketing, or how to hallucinate in the right direction](https://montreal.aitinkerers.org/talks/rsvp_5GN2LbL_qxo) The Challenge: Are your marketing campaigns rotting in the graveyard of failed ideas? Are you tired of throwing spaghetti at the wall and hoping something sticks? Fear not, brave marketers! We have tinkered to help you out. I mean, when you think about it, LLMs hallucinate quite a bunch... and that's not that different from people in a focus group after starting at your questionnaire for an hour and a half (at least based on personal experience). Is that the only similarities between humans and LLMs when it comes down to marketing ? I think not! This quirky demo will do it's best to showcase that grounding LLMs in a persona backed with actual data and then embracing the randomness of the output might be an interesting way of quickly testing out ideas before you bore real people with them! Our Secret Weapon: - Event context: AI Tinkerers - Montreal Inaugural Meetup (October) β€” 2024-10-29 β€” Montreal - Public talk page: https://montreal.aitinkerers.org/talks/rsvp_5GN2LbL_qxo ## Related Technologies - [alBERT](https://aitinkerers.org/technologies/albert) ([Markdown](https://aitinkerers.org/technologies/albert.md)) β€” 4 public demos - [arcprize](https://aitinkerers.org/technologies/arcprize) ([Markdown](https://aitinkerers.org/technologies/arcprize.md)) β€” 1 public demo - [BART](https://aitinkerers.org/technologies/bart) ([Markdown](https://aitinkerers.org/technologies/bart.md)) β€” 4 public demos - [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) β€” 179 public demos - [Google Cloud Platform](https://aitinkerers.org/technologies/google-cloud-platform) ([Markdown](https://aitinkerers.org/technologies/google-cloud-platform.md)) β€” 25 public demos - [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) β€” 191 public demos - [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) β€” 529 public demos - [LangChain](https://aitinkerers.org/technologies/langchain) ([Markdown](https://aitinkerers.org/technologies/langchain.md)) β€” 445 public demos - [LLMs](https://aitinkerers.org/technologies/llms) ([Markdown](https://aitinkerers.org/technologies/llms.md)) β€” 83 public demos - [Mesop](https://aitinkerers.org/technologies/mesop) ([Markdown](https://aitinkerers.org/technologies/mesop.md)) β€” 1 public demo - [RoBERTa](https://aitinkerers.org/technologies/roberta) ([Markdown](https://aitinkerers.org/technologies/roberta.md)) β€” 118 public demos - [Serverless](https://aitinkerers.org/technologies/serverless) ([Markdown](https://aitinkerers.org/technologies/serverless.md)) β€” 4 public demos - [T5](https://aitinkerers.org/technologies/t5) ([Markdown](https://aitinkerers.org/technologies/t5.md)) β€” 5 public demos - [XLNet](https://aitinkerers.org/technologies/xlnet) ([Markdown](https://aitinkerers.org/technologies/xlnet.md)) β€” 3 public demos