Category Archives: Reasoning

AI Aphorisms

Bruno Levy decided to share short sentences related to the conditions of possibility for AI reasoning and human-AI collaboration. Here is his first aphorism: “True reasoning is not a function of knowing everything, but a function of being structurally immune … Continue reading

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Collapse of Reasoning Models?

Apple’s ML scientists put to the test the latest “reasoning” models, like Claude, DeepSeek-R1, and o3-mini. They made these models solve classic puzzles: Tower of Hanoi, Checker Jumping, River Crossing, and Blocks World. Their findings “reveal fundamental limitations in current … Continue reading

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Peter Voss: “AI has lost its way”

A few days ago at DecisionCAMP-2024 Peter Voss presented “The Third Wave of AI: From rules, to statistics, to cognition” explaining why LLMs are not on the path towards Cognitive AI [AGI]. Today Peter published even a stronger article titled … Continue reading

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Knowledge Representation and Reasoning

Dan Selman wrote: “The key to Knowledge Representation and Reasoning is building your ontology. It doesn’t matter if you are reasoning using a Knowledge Graph, a rules engine or a relational database — you need to do the work of … Continue reading

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LLMs and Complex Business Problems

David Ferruchi’s new article “Large Language Models Created Demand for AI Capable of Complex Reasoning They Can’t Deliver Alone” explains why a more holistic approach to AI combined with different forms of reasoning is needed to help us make better … Continue reading

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Novel Decision Modeling Techniques (DC2023 Notes Part 2)

There were two presentations at DecisionCAMP-2023 devoted to new ideas that extend traditional Decision Modeling and DMN-like tools in new directions: 1) Probabilistic reasoning when a decision model deals with uncertain facts about which we know only their probability; 2) Declarative … Continue reading

Posted in Constraint Programming, Decision Intelligence, Decision Modeling, Decision Optimization, DecisionCAMP, Knowledge Representation, Reasoning, Rule Violations | Leave a comment

About LLM Reasoning and Planning Abilities

Today Yann LeCun wrote: “Auto-regressive LLM have very limited reasoning and planning abilities. I do not believe we can get anywhere close to human-level AI (even cat-level AI) without (1) learning world models from sensory inputs like video, (2) an … Continue reading

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DecisionCAMP Monthly Session on Jan 11, 2023

The first 2023 DecisionCAMP Monthly Session “Why is symbolic AI being overshadowed by statistical AI?” presented by Bas van der Raadt will be held on Jan 11 at 12:00 pm EST (New York Time). Register for free here.

Posted in Artificial Intelligence, Decision Intelligence, Decision Modeling, DecisionCAMP, Human-Machine Interaction, Knowledge Representation, Natural Language Processing, Reasoning, Semantic Web | Leave a comment

Augmented BPMS: A Research Manifesto

A group of researchers (many of whom are associated with Declarative AI and indirectly with DecisionCAMP) just published the manifesto “Augmented Business Process Management Systems“: “While traditional BPMSs encode pre-defined flows and rules, an ABPMS augmented by AI is able … Continue reading

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Knowledge Specification and Querying

Our colleagues from the Rules and Reasoning community have just reported interesting results. They built a system that achieves 100% accuracy on an extensive test suite of movie-related questions, e.g. “Who appears in a Steven Spielberg directed film?”. Their approach … Continue reading

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