paper-with-me

홈 › Papers

Executable Archaeology: Reanimating the Logic Theorist from its IPL-V Source

2026-03-13 · Jeff Shrager arxiv

The Logic Theorist (LT), created by Allen Newell, J. C. Shaw, and Herbert Simon in 1955-1956, is widely regarded as the first artificial intelligence program. While the original conceptual model was described in 1956, it underwent several iterations as the underlying Information Processing Language (IPL) evolved. Here I describe the construction of a new IPL-V interpreter, written in Common Lisp, and the faithful reanimation of the Logic Theorist from code transcribed directly from Stefferud's 1963 RAND technical report. Stefferud's version represents a pedagogical re-coding of the original heuristic logic into the standardized IPL-V. The reanimated LT successfully proves 16 of 23 attempted theorems from Chapter 2 of Principia Mathematica, results that are historically consistent with the original system's behavior within its search limits. To the author's knowledge, this is the first successful execution of the original Logic Theorist code in over half a century.

📄 PDF Abstract BibTeX arXiv:2603.13514

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era

2024-12-06 · Yohann Perron, Vladyslav Sydorov, Adam P. Wijker, Damian Evans 외

Airborne Laser Scanning (ALS) technology has transformed modern archaeology by unveiling hidden landscapes beneath dense vegetation. However, the lack of expert-annotated, open-access resources has hindered the analysis …

A Reproducible Workflow for Scraping, Structuring, and Segmenting Legacy Archaeological Artifact Images

2025-11-27 · Juan Palomeque-Gonzalez arxiv

This technical note presents a reproducible workflow for converting a legacy archaeological image collection into a structured and segmentation ready dataset. The case study focuses on the Lower Palaeolithic hand axe and…

Machine learning applications in archaeological practices: a review

2025-01-07 · Mathias Bellat, Jordy D. Orellana Figueroa, Jonathan S. Reeves, Ruhollah Taghizadeh-Mehrjardi 외

Artificial intelligence and machine learning applications in archaeology have increased significantly in recent years, and these now span all subfields, geographical regions, and time periods. The prevalence and success …

ArticlesEnsemble Learning

Reanimating a Dead Economy: Financial and Economic Analysis of a Zombie Outbreak

2020-03-22 · Zachary Feinstein

In this paper, we study the financial and economic implications of a zombie epidemic on a major industrialized nation. We begin with a consideration of the epidemiological modeling of the zombie contagion. The emphasis o…

The computerization of archaeology: survey on AI techniques

2020-05-05 · Lorenzo Mantovan, Loris Nanni

This paper analyses the application of artificial intelligence techniques to various areas of archaeology and more specifically: a) The use of software tools as a creative stimulus for the organization of exhibitions; th…

Survey