arXiv Preprint Search via research.memoryapi.org

{
  "query": "artificial intelligence",
  "category": "cs",
  "max_results": 10
}

{
  "count": 10,
  "query": "artificial intelligence",
  "papers": [
    {
      "id": "http://arxiv.org/abs/2110.01831v1",
      "url": "https://arxiv.org/abs/2110.01831v1",
      "title": "The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence",
      "authors": [
        "Michael Timothy Bennett",
        "Yoshihiro Maruyama"
      ],
      "summary": "We attempt to define what is necessary to construct an Artificial Scientist, explore and evaluate several approaches to artificial general intelligence (AGI) which may facilitate this, conclude that a unified or hybrid approach is necessary and explore two theories that satisfy this requirement to s",
      "arxiv_id": "2110.01831v1",
      "category": "cs.AI",
      "published": "2021-10-05T05:58:23Z"
    },
    {
      "id": "http://arxiv.org/abs/2110.01835v1",
      "url": "https://arxiv.org/abs/2110.01835v1",
      "title": "Compression, The Fermi Paradox and Artificial Super-Intelligence",
      "authors": [
        "Michael Timothy Bennett"
      ],
      "summary": "The following briefly discusses possible difficulties in communication with and control of an AGI (artificial general intelligence), building upon an explanation of The Fermi Paradox and preceding work on symbol emergence and artificial general intelligence. The latter suggests that to infer what so",
      "arxiv_id": "2110.01835v1",
      "category": "cs.AI",
      "published": "2021-10-05T06:17:02Z"
    },
    {
      "id": "http://arxiv.org/abs/2304.04780v1",
      "url": "https://arxiv.org/abs/2304.04780v1",
      "title": "A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?",
      "authors": [
        "Subrato Bharati",
        "M. Rubaiyat Hossain Mondal",
        "Prajoy Podder"
      ],
      "summary": "Artificial intelligence (AI) models are increasingly finding applications in the field of medicine. Concerns have been raised about the explainability of the decisions that are made by these AI models. In this article, we give a systematic analysis of explainable artificial intelligence (XAI), with ",
      "arxiv_id": "2304.04780v1",
      "category": "cs.LG",
      "published": "2023-04-10T17:40:21Z"
    },
    {
      "id": "http://arxiv.org/abs/2204.10358v1",
      "url": "https://arxiv.org/abs/2204.10358v1",
      "title": "Creative Problem Solving in Artificially Intelligent Agents: A Survey and Framework",
      "authors": [
        "Evana Gizzi",
        "Lakshmi Nair",
        "Sonia Chernova",
        "Jivko Sinapov"
      ],
      "summary": "Creative Problem Solving (CPS) is a sub-area within Artificial Intelligence (AI) that focuses on methods for solving off-nominal, or anomalous problems in autonomous systems. Despite many advancements in planning and learning, resolving novel problems or adapting existing knowledge to a new context,",
      "arxiv_id": "2204.10358v1",
      "category": "cs.AI",
      "published": "2022-04-21T18:31:44Z"
    },
    {
      "id": "http://arxiv.org/abs/2304.05147v1",
      "url": "https://arxiv.org/abs/2304.05147v1",
      "title": "Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives",
      "authors": [
        "Roberto Casadei"
      ],
      "summary": "Collectiveness is an important property of many systems--both natural and artificial. By exploiting a large number of individuals, it is often possible to produce effects that go far beyond the capabilities of the smartest individuals, or even to produce intelligent collective behaviour out of not-s",
      "arxiv_id": "2304.05147v1",
      "category": "cs.AI",
      "published": "2023-04-11T11:22:47Z"
    },
    {
      "id": "http://arxiv.org/abs/1001.2208v2",
      "url": "https://arxiv.org/abs/1001.2208v2",
      "title": "Biological Inspiration for Artificial Immune Systems",
      "authors": [
        "Jamie Twycross",
        "Uwe Aickelin"
      ],
      "summary": "Artificial immune systems (AISs) to date have generally been inspired by naive biological metaphors. This has limited the effectiveness of these systems. In this position paper two ways in which AISs could be made more biologically realistic are discussed. We propose that AISs should draw their insp",
      "arxiv_id": "1001.2208v2",
      "category": "cs.AI",
      "published": "2010-01-13T15:45:07Z"
    },
    {
      "id": "http://arxiv.org/abs/1301.2158v1",
      "url": "https://arxiv.org/abs/1301.2158v1",
      "title": "Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach",
      "authors": [
        "Casey C. Bennett",
        "Kris Hauser"
      ],
      "summary": "In the modern healthcare system, rapidly expanding costs/complexity, the growing myriad of treatment options, and exploding information streams that often do not effectively reach the front lines hinder the ability to choose optimal treatment decisions over time. The goal in this paper is to develop",
      "arxiv_id": "1301.2158v1",
      "category": "cs.AI",
      "published": "2013-01-10T15:29:59Z"
    },
    {
      "id": "http://arxiv.org/abs/1806.01322v1",
      "url": "https://arxiv.org/abs/1806.01322v1",
      "title": "Past Visions of Artificial Futures: One Hundred and Fifty Years under the Spectre of Evolving Machines",
      "authors": [
        "Tim Taylor",
        "Alan Dorin"
      ],
      "summary": "The influence of Artificial Intelligence (AI) and Artificial Life (ALife) technologies upon society, and their potential to fundamentally shape the future evolution of humankind, are topics very much at the forefront of current scientific, governmental and public debate. While these might seem like ",
      "arxiv_id": "1806.01322v1",
      "category": "cs.AI",
      "published": "2018-06-04T18:52:40Z"
    },
    {
      "id": "http://arxiv.org/abs/cs/9903016v1",
      "url": "https://arxiv.org/abs/cs/9903016v1",
      "title": "Modeling Belief in Dynamic Systems, Part II: Revision and Update",
      "authors": [
        "N Friedman",
        "J. Y. Halpern"
      ],
      "summary": "The study of belief change has been an active area in philosophy and AI. In recent years two special cases of belief change, belief revision and belief update, have been studied in detail. In a companion paper (Friedman & Halpern, 1997), we introduce a new framework to model belief change. This ",
      "arxiv_id": "cs/9903016v1",
      "category": "cs.AI",
      "published": "1999-03-24T00:22:01Z"
    },
    {
      "id": "http://arxiv.org/abs/2410.11896v1",
      "url": "https://arxiv.org/abs/2410.11896v1",
      "title": "Study on the Helpfulness of Explainable Artificial Intelligence",
      "authors": [
        "Tobias Labarta",
        "Elizaveta Kulicheva",
        "Ronja Froelian",
        "Christian Geißler",
        "Xenia Melman",
        "Julian von Klitzing"
      ],
      "summary": "Explainable Artificial Intelligence (XAI) is essential for building advanced machine learning-powered applications, especially in critical domains such as medical diagnostics or autonomous driving. Legal, business, and ethical requirements motivate using effective XAI, but the increasing number of d",
      "arxiv_id": "2410.11896v1",
      "category": "cs.HC",
      "published": "2024-10-14T14:03:52Z"
    }
  ],
  "source": "arXiv.org",
  "success": true
}

{
  "example": {
    "count": 10,
    "query": "large language models",
    "papers": [
      {
        "url": "https://arxiv.org/abs/2401.12345",
        "title": "Attention Is All You Need (revisited)",
        "authors": [
          "Vaswani A"
        ],
        "summary": "We propose...",
        "arxiv_id": "2401.12345",
        "category": "cs.CL",
        "published": "2024-01-15T00:00:00Z"
      }
    ],
    "source": "arXiv.org",
    "success": true
  }
}