Posture and Sustainment Optimization Under Adversarial Uncertainty
arXiv cs.AIen
arXiv:2608.05256v1 Announce Type: new Abstract: Pre-commitment posture, the assignment of military assets to theater locations before conflict scenarios resolve, is a critical and formally unsolved problem in joint operational planning. Current practice relies on greedy heuristics that maximize value and ignore geographic coverage and are structurally vulnerable to adversaries that target high-strategic value locations. This paper presents a scenario-weighted adversarially robust posture optimization engine for the Posture and sustainability allocation (PSA) problem, modeled as a finite-horizon Markov Decision Process over assets, theater locations, and time steps. We introduce the Composite
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Forskning
Related AI news
- The Ignition Index: Measuring Global Workspace Dynamics in Language ModelsarXiv cs.AI · August 7, 2026
- Otter: A Time-Aware, History-Conditioned Human Chess AIarXiv cs.AI · August 7, 2026
- Project2Task: Graph-Guided Project-Level Planning for Autonomous ResearcharXiv cs.AI · August 7, 2026
- C$^3$PO: Evaluating Cross-Modal Composition and Counterfactual Performance in Omnimodal ModelsarXiv cs.AI · August 7, 2026
- Agentic self-driving microscopy benchmarks support qualification but do not necessarily generalize to unseen tasksarXiv cs.AI · August 7, 2026
- CASCADE: An Agentic Regulatory Network Framework for Patient-Data-Validated Downstream Perturbation PredictionarXiv cs.AI · August 7, 2026