Vintage Artificial Intelligence: Before It Got Awkward

ForOldHack

Yes, this is very comprehensive, but only missing two things: Intelligence (IBM Mainframe ), Lotus H.A.L. ( Lotus 1-2-3 heuristic language processor ). ELiza came from LISP, MIT. RACTOR wrote a book, "The policeman's beard is half constructed."

jonbaer

https://en.wikipedia.org/wiki/Artificial_Intelligence_Markup...

oidar

My favorite old AI named Tik-Tok - https://en.wikipedia.org/wiki/Tik-Tok_(novel) >Tik-Tok finds that he can do as he pleases, and he secretly commits various hideous crimes for his amusement. After manipulating both robots and humans to cause chaos and bloodshed, Tik-Tok becomes wealthy (partly through health care privatization) and is finally elected Vice President of the United States.

ripe

Pretty good. Regarding Eliza, a version comes with Emacs, too. It's the "doctor" application. (The original Eliza was written as a generic engine running a pattern-matching "script"). A quibble: the creator of Eliza was Joseph Weizenbaum, not "Wizenbaum".

ironqcold

Thanks for the collection. Racter was especially fun — his texts sound like they were written by a bot that had too much to drink and is trying to sound deep. But back in 1985, that was probably pretty impressive

DonHopkins

Timothy Leary's Mind Mirror https://en.wikipedia.org/wiki/Timothy_Leary%27s_Mind_Mirror https://store.steampowered.com/app/1603300/Timothy_Learys_Mi... https://news.ycombinator.com/item?id=32578683 https://scalar.usc.edu/works/timothy-leary-software/index I extracted all the text from the Apple ][ Mind Mirror floppy disk image: https://donhopkins.com/home/mind-mirror.txt Mind Mirror Anthropic Skill and Documentation for MOOLLM: https://github.com/SimHacker/moollm/tree/main/skills/mind-mi... The Prison Escape: Ultimate Validation In 1970, Nixon called Timothy Leary "the most dangerous man in America." Leary was sentenced to 10-20 years for marijuana possession — a draconian sentence designed to silence him. Upon arrival at the California Men's Colony, Leary was administered psychological tests to determine his security classification. Among them: the Leary Interpersonal Behavior Inventory — a test he himself had designed twenty years earlier. This was the ultimate field test of his own theory. If personality assessment truly revealed the inner self, Leary would be classified as what he was: a charismatic rebel, a leader, a flight risk. But Leary understood the instrument. He knew which quadrant of the Interpersonal Circumplex mapped to "cooperative worker" vs. "dangerous agitator." He answered strategically: Dominance axis: Low scores ("I prefer to follow") Hostility axis: Low scores ("I respect authority") Interests: Forestry, gardening, nature work Affect: Calm, conventional, agreeable The prison psychologists, applying the Leary Interpersonal Behavior Inventory to Leary himself, concluded: "Normal, well-adjusted, non-aggressive, conforming individual." Result: Minimum security. Outdoor work detail. Access to the grounds with minimal supervision. On September 12, 1970, Leary climbed a tree, shimmied across a telephone cable over the razor wire, and dropped to freedom. The Weather Underground had a car waiting. By October, he was in Algeria as a guest of the Black Panther Party's international chapter. By 1971, Switzerland. He evaded capture for over two years. [...] Bob Dietz, co-creator, on working with Leary: "His vision was way out there in the future so a lot of what we had to do was kind of pull it back a little bit and say well, this machine can't do all that. He always had these kind of big vision things of wanting to do three-dimensionally and you know have the computer react to everything you said and with artificial intelligence." On Leary's goals: "He was all about self-empowerment, giving the users the keys to the kingdom." On the internet vision: "I cannot begin to tell you how much Timothy Leary would have embraced and loved the notion of seeing Mind Mirror applied on the internet." ---- Apple Software Bank Vol. 1: Bone Tumor Differential Diagnosis [Model 00114] © 1978 Apple Computer, Inc. An expert system written in APPLESOFT BASIC by Jeffrey Dach, M.D. https://news.ycombinator.com/item?id=21582027 DonHopkins on Nov 20, 2019 | prev | next [–] The classic Bone Tumor Differential Diagnosis program that Apple published for the Apple ][ in the original Apple Software Bank Volume 1 from 1978 sounds legit. But beware: it requires 32K of RAM, bigger than any other program in that volume! (Available on both cassette and 5-1/4" floppy disk for free from your local Apple dealer.) https://archive.org/stream/Apple_Software_Bank_Vol_1-2/Apple... https://archive.org/details/a2_Biology_19xx_ https://mirrors.apple2.org.za/ftp.apple.asimov.net/documenta... Program Name: BONE TUMOR DIFFERENTIAL DIAGNOSIS Software Bank Number: 001 1 4 Submitted By: Jeffrey Dach, M.D. Program Language: APPLESOFT II BASIC Minimum Memory Size: 32K Bytes This program is intended for use by qualified medical practitioners. While the specific data are of interest only to those familiar with bone pathologies, the programming techniques may well interest a wide range of computer users. INSTRUCTIONS LOAD the program into APPLESOFT II BASIC, and type RUN. Follow the instructions displayed on the screen. The program asks a series of questions concerning radiographic and clinical details of the bone tumor in question. For each question, type the number of the appropriate answer and press the RETURN key. Finally, the program uses Baye's rule and a predetermined probability matrix from Lodwick (1963) to calculate the relative probabilities of 9 different diagnoses. Some knowledge of descriptive terms for bone tumors is needed to answer the questions. Only a qualified physician should attempt to use this program as a diagnostic tool.

xvilka

There is still work on symbolic and hybrid AI - ProbLog[1][2] and DeepProbLog[3], as well as DeepLog[4] for example. [1] https://dtai.cs.kuleuven.be/problog/ [2] https://github.com/ML-KULeuven/problog [3] https://github.com/ML-KULeuven/deepproblog [4] https://github.com/ML-KULeuven/deeplog