Tootfinder

"When we say monumental, you had better believe it; the 500 pages of this volume, laid out with astonishing detail (and a very small font size) summarize the history and evolution of computers from 1945 to 1990. Throughout these pages, Waldrop reveals that the backbone, the axis, the arrow, the orientation, the mastermind of all that history was none other than Lick himself: he was the incarnation of the phrase “being at the right place at the right time”."

J. C. R. Licklider & M. Mitchell Waldrop
The writings of Jorge Luis Borges twist our perception of time and space. In between articles about Shaw, Chesterton, Wilde, and Coleridge, his 1952 book "Otras Inquisiciones" included an unexpected gem: a short story called "El Tiempo y J. W. Dunne". The question is, who was this John William Dunne and what does he have to do with time? Well, his name might be forgotten by contemporary audiences, but Dunne was the author of one of the biggest bestsellers of the first half of the twentieth cent…

The 82nd edition of De Programmatica Ipsum is out!
This month, we look at hits and misses (mostly misses, let us be honest) in our long tradition of predicting the future; in the Library section, we review "The Dream Machine" by M. Mitchell Waldrop and famous papers authored by J. C. R. Licklider; and in our Vidéothèque section, we watch "The Mother of all Demos" by Doug Engelbart.

Issue 082: Futurism
Welcome to the 82nd issue of De Programmatica Ipsum, about Futurism. In this edition, we look at hits and misses (mostly misses, let us be honest) in our long tradition of predicting the future; in the Library section, we review "The Dream Machine" by M. Mitchell Waldrop and famous papers authored by J. C. R. Licklider; and in our Vidéothèque section, we watch "The Mother of all Demos" by Doug Engelbart.

Reliable Transmission of LTP Using Reinforcement Learning-Based Adaptive FEC
Liang Chen, Yu Song, Kanglian Zhao, Juan A. Fraire, Wenfeng Li
https://arxiv.org/abs/2506.22470

Reliable Transmission of LTP Using Reinforcement Learning-Based Adaptive FEC
Delay/Disruption Tolerant Networking (DTN) employs the Licklider Transmission Protocol (LTP) with Automatic Repeat reQuest (ARQ) for reliable data delivery in challenging interplanetary networks. While previous studies have integrated packet-level Forward Erasure Correction (FEC) into LTP to reduce retransmission time costs, existing static and delay-feedback-based dynamic coding methods struggle with highly variable and unpredictable deep space channel conditions. This paper proposes a reinfor…