{
  "id": 18435915,
  "title": "Satisficing as competitive Bayesian weighting: a minimal model of goal-directed choice under an unattained target",
  "url": "https://urgent.news/2026/11/05/satisficing-as-competitive-bayesian-weighting-a-minimal-model-of-goal",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-05T00:45:40.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.07270v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Animals and humans often do not maximize; they act relative to goals (aspiration levels) that are frequently not yet met. How can a goal that is not (yet) realized organize choice? Deacon (2012) calls such absence-referenced organization \\emph{ententional}, and García-Valdecasas and Deacon (2024) argue that ends are best understood as constraints rather than as particular states. We examine this…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}