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A video game developer is a software developer specializing in video game development – the process and related disciplines of creating video games. A game developer can range from one person who undertakes all tasks to a large business with employee responsibilities split between individual disciplines, such as programmers, designers, artists, etc. Most game development companies have video game publisher financial and usually marketing support. Self-funded developers are known as independent or indie developers and usually make indie games. A developer may specialize in specific game engines or specific video game consoles (such as Nintendo's Switch, Microsoft's Xbox Series X and Series S, Sony's PlayStation 5), or may develop for several systems (including personal computers and mobile devices). Video game developers specialize in certain types of games (such as role-playing video games or first-person shooters). Some focus on porting games from one system to another, or translating games from one language to another. Less commonly, some do software development work in addition to games. Most video game publishers maintain development studios (such as Electronic Arts's EA Canada, Square Enix's studios, Activision's Radical Entertainment, Nintendo EPD and Sony's Polyphony Digital and Naughty Dog). However, since publishing is still their primary activity they are generally described as "publishers" rather than "developers". Developers may be private as well. In the video game industry, a first-party developer is part of a company that manufactures a video game console and develops exclusively for it. First-party developers may use the name of the company itself (such as Nintendo), have a specific division name (such as Sony's Polyphony Digital) or have been an independent studio before being acquired by the console manufacturer (such as Rare or Naughty Dog). Whether by purchasing an independent studio or by founding a new team, the acquisition of a first-party developer involves a huge financial investment on the part of the console manufacturer, which is wasted if the developer fails to produce a hit game on time.

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L'objectif du cours est de développer une méthodologie d'analyse du jeu vidéo, en particulier via une démarche empirique originale : le "Let's play". Il s'agira de présenter la manière dont le jeu vid

HUM-322: Artistic practices D

Ce cours se focalise sur la conception et la production d'une scène interactive dans le Game Engine Unity.

HUM-304: Video games and society

Ce cours constitue une introduction à l'approche sociologique de la culture à travers l'analyse du secteur des jeux vidéo. Il mobilise les principales approches de l'analyse de la production et des pu

Video game console

A video game console is an electronic device that outputs a video signal or image to display a video game that can be played with a game controller. These may be home consoles, which are generally placed in a permanent location connected to a television or other display devices and controlled with a separate game controller, or handheld consoles, which include their own display unit and controller functions built into the unit and which can be played anywhere. Hybrid consoles combine elements of both home and handheld consoles.

Video game developer

Video game industry

The video game industry is the tertiary and quaternary sectors of the entertainment industry that specialize in the development, marketing, distribution, monetization and consumer feedback of video games. The industry encompasses dozens of job disciplines and thousands of jobs worldwide. The video game industry has grown from niche to mainstream. , video games generated annually in global sales. In the US, the industry earned about in 2007, in 2008, and 2010, according to the ESA annual report.

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Game Development: Implementing Game Logic MOOC: Introduction to Programming in C++

Covers the implementation of game logic in C++, focusing on data structures and game functions.

Formally verifying the correctness of software network functions (NFs) is necessary for network reliability, yet existing techniques require full source code and mandate the use of specific data structures. We describe an automated technique to verify NF binaries, making verification usable by network operators even on proprietary code. To solve the key challenge of bridging the abstraction levels of NF implementations and specifications without special-casing a set of data structures, we observe that data structures used by NFs can be modeled as maps, and introduce a universal type to specify both NFs and their data structures, the "ghost map". In addition, we observe that the interactions between an NF and its environment are sufficient to infer control flow and types, removing the requirement for source code. We implement our technique in Klint, a tool with which we verify, in minutes, that 7 NF binaries satisfy their specifications, without limiting developers' choices of data structures. The specifications are written in Python and use maps to model state. Klint can also verify an entire NF binary stack, all the way down to the NIC driver, using a minimal operating system. Operators can thus verify NF binaries, without source code or debug symbols, without requiring developers to use specific programming languages or data structures, and without trusting any software except Klint.

USENIX Association2022

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Daniel Peppicelli, Marc-Oliver Gewaltig, Luc Guyot, Egidio Falotico, Lorenzo Vannucci, Axel von Arnim, Paul Levi, Georg Hinkel, Stefan Ulbrich, Eduardo Ros, Alessandro Ambrosano, Nino Cauli, Patrick Van Der Smagt, Oliver Denninger, Ugo Albanese, Murat Kirtay, Stefan Deser, Sandro Weber, Patrick Maier, Igor Peric

Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensory environment, where the model is exposed to a realistic sensory-motor task, is needed. Due to the complexity of these brain models that, at the current stage, cannot deal with real-time constraints, it is not possible to embed them into a real-world task. Rather, the embodiment has to be simulated as well. While adequate tools exist to simulate either complex neural networks or robots and their environments, there is so far no tool that allows to easily establish a communication between brain and body models. The Neurorobotics Platform is a new web-based environment that aims to fill this gap by offering scientists and technology developers a software infrastructure allowing them to connect brain models to detailed simulations of robot bodies and environments and to use the resulting neurorobotic systems for in silico experimentation. In order to simplify the workflow and reduce the level of the required programming skills, the platform provides editors for the specification of experimental sequences and conditions, environments, robots, and brain-body connectors. In addition to that, a variety of existing robots and environments are provided. This work presents the architecture of the first release of the Neurorobotics Platform developed in subproject 10 "Neurorobotics" of the Human Brain Project (HBP). 1 At the current state, the Neurorobotics Platform allows researchers to design and run basic experiments in neurorobotics using simulated robots and simulated environments linked to simplified versions of brain models. We illustrate the capabilities of the platform with three example experiments: a Braitenberg task implemented on a mobile robot, a sensory-motor learning task based on a robotic controller, and a visual tracking embedding a retina model on the iCub humanoid robot. These use-cases allow to assess the applicability of the Neurorobotics Platform for robotic tasks as well as in neuroscientific experiments.

2017