Ecole Polytechnique: Students present their work at a major AI conference
The Platform for Artificial Intelligence (PFIA) is a major annual event in artificial intelligence research. It addresses issues and research common to both research and industry. The 14th PFIA, supported by more than ten industrial sponsors, took place from 28 of June to the 2nd of July 2021 in remote mode and welcomed speakers from the United States and the United Kingdom.
This year, two groups of students in their 2nd year of the Polytechnique engineering cycle were able to present their Collective Scientific Projects (CSP) in the parallel session “Games and AI”. Their projects were proposed by the company Ubisoft and carried out with the help of the “Science and Video Games” Chair held by Raphaël Granier de Cassagnac, CNRS research director at the Leprince-Ringuet Laboratory (LLR*).
The first project focused on the automatic generation of dialogues between non-player characters (NPCs). The NPCs contribute to the player’s immersion by giving life to the world in which he evolves, for example by giving him information, or by simulating the daily life of people in this virtual world. Currently, these dialogues are very often static and not renewed, so the students who conducted this CSP created an automated system based on decision trees to vary the discussions.
These trees are composed of blocks carrying information about the story narrated by the NPC, and contain branches to add details to the stories. In order to vary the transmission of stories between NPCs, the students then gave ” personality traits ” to the characters. These could be anything from speech tics, good or bad memory, or giving little or a lot of detail, creating unique narratives that are passed between NPCs. This system could in the future be adapted so that characters in a game remember their actions in a day to make the world seem even more alive to the player.
In order to make the movements of video game creatures more realistic and believable, the second PSC students animated virtual creatures with evolutionary neural networks. The ‘creatures’ were composed of simplified bones, muscles and joints that a neural network had to direct in 2D (Figure 1). The students used a particular algorithm called N.E.A.T., which randomly generates neural networks and evaluates their performance according to defined criteria, in this case the ability to make the creature move. The N.E.A.T. algorithm then creates a new ‘generation’ of networks by making small modifications to the best performing networks.
Ainsi, les élèves ont pu observer l’évolution de l’aptitude des réseaux de neurones à diriger leur créature au cours des générations. Ils ont pu faire varier cette évolution notamment en fonction de la complexité de la créature et de la probabilité de modification entre générations de réseaux.
Cette année, la Chaire « Science et jeu vidéo » a accompagné huit PSC, dans des domaines variés. Les élèves, très impliqués dans leurs projets, ont l’occasion de présenter leurs projets dans divers contextes, ici lors d’une conférence réputée dans le domaine de l’IA. Ces interventions soulignent la proximité des élèves avec la Chaire et l’excellence de l’apprentissage par la recherche dispensé par celle-ci.
In this way, the students were able to observe the evolution of the neural networks’ ability to direct their creature over the generations. They were able to vary this evolution according to the complexity of the creature and the probability of modification between generations of networks.
This year, the “Science and Video Games” Chair supported eight CSPs in various fields. The students, who are very involved in their projects, have the opportunity to present their projects in various contexts, here at a well-known conference in the field of AI. These interventions underline the proximity of the students to the Chair and the excellence of the learning through research provided by the Chair.
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