# From Extraction to Synthesis: Entangled Heuristics for Agent-Augmented Strategic Reasoning

arXiv: https://arxiv.org/abs/2507.13768 · HTML: https://mlsanity.com/paper/2507.13768/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 35 references that are in the map.
- First posted on arXiv 18 Jul 2025.

## Builds on (most cited first, 9 of 9)

- [Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks](https://mlsanity.com/paper/1908.10084/) (2019)
- [Efficient Estimation of Word Representations in Vector Space](https://mlsanity.com/paper/1301.3781/) (2013)
- [A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://mlsanity.com/paper/2311.05232/) (2023)
- [A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications](https://mlsanity.com/paper/2402.07927/) (2024)
- [TELeR: A General Taxonomy of LLM Prompts for Benchmarking Complex Tasks](https://mlsanity.com/paper/2305.11430/) (2023)
- [Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems](https://mlsanity.com/paper/2008.06239/) (2020)
- [Mitigating Large Language Model Hallucination with Faithful Finetuning](https://mlsanity.com/paper/2406.11267/) (2024)
- [A review of faithfulness metrics for hallucination assessment in Large Language Models](https://mlsanity.com/paper/2501.00269/) (2024)
- [Recommending Actionable Strategies: A Semantic Approach to Integrating Analytical Frameworks with Decision Heuristics](https://mlsanity.com/paper/2501.14634/) (2025)

## Built on by (most cited first, 4 of 4)

- [Quantum Abduction: A New Paradigm for Reasoning under Uncertainty](https://mlsanity.com/paper/2509.16958/) (2025)
- [Analytic Abduction: Causal Decomposition and Governed Commitment for Human--AI Coordination](https://mlsanity.com/paper/2607.14641/) (2026)
- [Can Semantic Methods Enhance Team Sports Tactics? A Methodology for Football with Broader Applications](https://mlsanity.com/paper/2601.00421/) (2026)
- [A Minimal kappa--τ Logic for Risk-Sensitive Abduction](https://mlsanity.com/paper/2608.08192/) (2026)

## Abstract (arXiv)

We present a hybrid architecture for agent-augmented strategic reasoning, combining heuristic extraction, semantic activation, and compositional synthesis. Drawing on sources ranging from classical military theory to contemporary corporate strategy, our model activates and composes multiple heuristics through a process of semantic interdependence inspired by research in quantum cognition. Unlike traditional decision engines that select the best rule, our system fuses conflicting heuristics into coherent and context-sensitive narratives, guided by semantic interaction modeling and rhetorical framing. We demonstrate the framework via a Meta vs. FTC case study, with preliminary validation through semantic metrics. Limitations and extensions (e.g., dynamic interference tuning) are discussed.