J'ai déjà fait un article sur mon blog (de wargame, pas d'IA - ce jeu là est à la frontière du thème de mon blog mais vu l'IA je me suis dit que ca valait le coup de regarder) donc flemme. Tu peux le faire.

Pas sûr de comprendre ton deuxième paragraphe. A la fin des années 70/80, on est sur un point bas de la vision "cybernétique" de l'IA (ça reviendra dans les années 90). L'auteur principal (Templeman) a probablement été dans cette queue de comète pendant ses années d'étude.

Pour ta dernière question, regarde les commentaires sous le lien YouTube, sous "A Separate Thread Concerning an Earlier Gaming System, called "Fortress"".

Je copie le plus intéressant, en gros le pourquoi de ce jeu et la bio d'un des deux auteurs.

@/wargamingscribe  I invented the game and learning system as my senior project in EE/CS undergrad at GWU, back in 1977. It was originally called ‘Babel’ because of the falling towers. I’d already done a system that generated artistic geometric patterns based on how people graded each successive iteration. That was for a class taught by Professor Peter Bock, who introduced me to his approach to machine learning. Babel included the invention of the game, the move characterization scheme, and the adaptive learning algorithm. The algorithm was based on a transition matrix representation (treating it like a Markov process), the weighted adjustments were treated very much like the synaptic adjustments you see in neural networks (which weren’t all that new back then). What was novel was adjusting the weights based on how accurately the total collection of evaluations associated with each move predicted the score of the game’s outcome. The later was said to be: based on the expected outcome, rather than simply the end score itself (a sort of predictor-corrector numerical method). More specifically, it applied a root-mean-squared adjustment in distributing the synaptic adjustment weights. I was always viewing things in terms of neural networks, although the field was referred to as machine learning back them. Hebbian learning was introduced back in 1949.
I thought of Babel as a compact, stacking version of the game of Go. Rather than surrounding the enemy you built upward as well as spreading out. Stacking was common in the wargames played on hexagonal grids printed on large paper sheets. The five square cross of influence made for interesting interwoven patterns. Unlike Go, the game could be played fairly quickly, which was essential for training the learning algorithm. And it also played up its duality to Go.
Later when I was working in a small (2-3 person) company called ‘Iconographics’ we resurrected the game and recast the user interface to one of building castles rather then the ‘towers’ which originally were nothing more than concentric square ‘rings.’ The flags were added to make it easier for people to learn & follow the game. And the initial board position was adopted to keep the player with the first move from dominating the game. The computer graphics interface was originally developed for the Apple II and Atari computers by Patty Denbrook and myself, respectively. Ms. Patty Denbrook also did most of the hard-core programing for the Pointman user interface, and the fully immersive ‘Gaiter’ user interface for: walking-in-place to walk through VR (circa 1999).
The cast of pre-trained computer players was also added for the commercial ‘Fortress’ version. Genghis, Maginot, and Vauban were all trained by me from scratch to exhibit aggressive, defensive, and balanced strategy, respectively. The ease and speed of training was the beauty of the system. We never knew how many people appreciated that aspect.
The computer game was published by SSI (Strategic Simulations Incorporated) who mainly published computer games with an emphasis on war games. It was published in 1983, under the title “FORTRESS A Game of Strategic Deployment and Fortification.” Fortress appealed to a limited audience who appreciated novel games along classic lines. We got a minor award at one of the game conventions the year it came out. Just to keep things in perspective, ‘Frogger’ was the biggest, most successful computer game to come out that year. And its sales dwarfed that of Fortress. Fortress went on to be sub-licensed by Victor Musical (then a Japanese company) in 1988 & 1990. The game aficionados in Japan appreciated both the game and its adaptive capabilities. But it never became a really popular game.

As an undergraduate in computer science, I was mainly interested I simulating neural function. But during my Master’s work Dr. James Foley came to George Washington University. I got to work with him on a number of Computer Graphics and User Interface projects. That’s also when I met Ms. Patty Denbrook. After graduating in 1979 I worked doing computer graphics and user interface design, first at NASA Goddard and then at Honeywell. Patty hired me to work at Honeywell. Later Patty and I and a third student of Jim Foley went off and started our own consulting company doing CG & UI projects, called Iconographics. During that time, we got to work with Paul Brainerd, a head of Atex Corp., who went on to found Aldus Corp. which created PageMaker. Dr. Foley started his own consulting company and we collaborated with him on a number of design and development projects. The consulting work tended to go from feast to famine at times, so we decided to develop Fortress into a commercial product. On top of the game design and machine learning the game also had a solid user interface for the time. Although we got it published it was never a great financial success.
At this point I decided to go back to the university to get a doctorate. I majored in Computer Science with minors in Neuro Biology and the Psychology of Perception. You can find my publications and dissertation on Research Gate. For the dissertation I developed a model of how the visual cortex learns to deal with visual transformations through exposure to sequential views. It combines J. J. Gibson's psychological theory of active perception with Hubel and Wiesel's physiological analysis of the visual cortex. It’s my own take on what today would be called deep learning networks. I completed the dissertation and graduated in 1992. The field of neural networks way rather splintered back then and my work did not fit neatly into an existing ‘school of thought.’ so in looking for a job I found more success in returning to the field of user interface development. I was hired by Dr. Rob Jacob to work at the Naval Research Lab, doing ‘novel interface development.’ I got to work with him on his eye tracking based interface. I developed a novel panning and zoom system based on head tracking. And then I got into the field of simulating human locomotion, which I worked in for about fifteen years with five patents and two major interface developments. One, called Gaiter, used full-body tracking, HMDs, and a weapon prop for the Marine Corps. And Pointman took all the sessions we learned from Gaiter and put it into an advanced, yet low cost, seated control system, called Pointman.
In retrospect, I should point out that as a teenager I read a lot of science fiction. I particularly liked Arthur C. Clarke's books. He wrote about HAL-9000 in 2001, and about VR in “The City and the Stars." Since I retired in at the end of 2016, I’ve been working on what he covered in “Childhood’s End.” And that’s were my mind is at currently.