Enshrouded is a beautiful combination of Minecraft, Skyrim and resource gathering that makes it at least three games in one. My daughter told me I would love it and I ignored her for too long. I've tackled Elden Ring, but much prefer the often gentler combat of Enshrouded. It sometimes makes me feel like an elite fighter, then other times kicks my arse in precisely the right measures. Its real joy is the flexibility to spend your time doing whatever tickles your fancy. I'll spend a few hours growing crops to make a cake or smelting metals for better armour, then knock off a few quests to unlock new materials and weapons.

There was a long-running joke that Bethesda's Skyrim had become so ubiquitous that it would run on anything. Starting life on the humble Xbox 360, it found its way on to Nintendo Switch, virtual reality headsets, PS5 and even Amazon's Alexa. After more than 13 years, its sequel is still nowhere to be seen, so role playing game veterans Obsidian are offering fans an alternative in the form of Avowed. I'm taken aback by just how fun and breezy it is, given that it has been spun off the somewhat stuffier computer RPG Pillars of Eternity. Entering the game's colour-saturated world, Eora, I explore a luscious overgrown cavern with my alarmingly athletic mage, and find myself leaping across chasms and climbing rock faces without breaking a sweat. Where Skyrim's dull colour palette and clunky combat betray its 2011 origins, Avowed's kineticism and vibrance make first-person spellcasting feel fun.

Many natural language processing (NLP) tasks rely on labeled data to train machine learning models to achieve high performance. However, data annotation can be a time-consuming and expensive process, especially when the task involves a large amount of data or requires specialized domains. Recently, GPT-3.5 series models have demonstrated remarkable few-shot and zero-shot ability across various NLP tasks. In this paper, we first claim that large language models (LLMs), such as GPT-3.5, can serve as an excellent crowdsourced annotator by providing them with sufficient guidance and demonstrated examples. To make LLMs to be better annotators, we propose a two-step approach, 'explain-then-annotate'. To be more precise, we begin by creating prompts for every demonstrated example, which we subsequently utilize to prompt a LLM to provide an explanation for why the specific ground truth answer/label was chosen for that particular example. Following this, we construct the few-shot chain-of-thought prompt with the self-generated explanation and employ it to annotate the unlabeled data. We conduct experiments on three tasks, including user input and keyword relevance assessment, BoolQ and WiC. The annotation results from GPT-3.5 surpasses those from crowdsourced annotation for user input and keyword relevance assessment. Additionally, for the other two tasks, GPT-3.5 achieves results that are comparable to those obtained through crowdsourced annotation.

Disclaimer: The paper presented here is part of discontinued issue of Game AI Pro 4 This work presents an implementation of a social architecture model for authoring Non-Player Character (NPC) in open world games inspired in academic research on agentbased modeling. Believable NPC authoring is burdensome in terms of rich dialogue and responsive behaviors.

We present in this article what we believe to be one of the first attempts at video game machine translation. Our study shows that models trained only with limited in-domain data surpass publicly available systems by a significant margin, and a subsequent human evaluation reveals interesting findings in the final translation. The first part of the article introduces some of the challenges of video game translation, some of the existing literature, as well as the systems and data sets used in this experiment. The last sections discuss our analysis of the resulting translation and the potential benefits of such an automated system. One such finding highlights the model's ability to learn typical rules and patterns of video game translations from English into French. Our conclusions therefore indicate that the specific case of video game machine translation could prove very much useful given the encouraging results, the highly repetitive nature of the work, and the often poor working conditions that translators face in this field. As with other use cases of MT in cultural sectors, however, we believe this is heavily dependent on the proper implementation of the tool, which should be used interactively by human translators to stimulate creativity instead of raw post-editing for the sake of productivity.

Popular modders are able to find jobs in the gaming industry because they've proven they can design features fans want to add to their game, says Alex Velicky, a design lead at Bungie, the developer behind the popular multiplayer franchise "Destiny." Velicky would know -- he got his job at Bungie after he created an entire island for "Skyrim" with a full cast of voice actors, which has been downloaded more than 3 million times. Growing up, Velicky always used to build miniature campaigns in "Age of Empires 2" and "Timesplitters 2″ but Bethesda's creator kit from "Skyrim" and "Oblivion" -- an earlier title set in the same world 200 years before the events in "Skyrim" -- felt like the first time he could really build anything in a game.

Is there anyone who's played video games over the last 10 years who hasn't played Skyrim? When it came out in 2011, this must surely have seemed to the outside world like one of the nerdiest games around: potions and spells, axes and swords, dark elves and giants and, of course, dragons. But Skyrim nevertheless became one of the most widely played games ever, a touchstone in the video game world, for players and developers alike. It has been re-released on every console and platform imaginable, to the point where it's become a gaming in-joke. It's still huge on YouTube and TikTok, even with people who were little kids when it came out.

There is only one entrance to the city of Solitude. Its gates are set in a colossal stone wall that lies across the summit of a steep stone path amid a forest of fir trees. Arriving this way suggests nothing of the grandeur beyond. If you approach via the Karst river to the south or its swampy delta to the east, a mandible of buildings is visible, stretching high across an arching stone bridge. To the right, flashes of sunlight reflect off the windows of the Blue Palace.

I had worried that The Elder Scrolls Online had played its best hand too soon when it released Morrowind as its first "chapter" (or expansion) in 2017, but I'd forgotten about the dragons. The beasts, so loved from The Elder Scrolls V: Skyrim, take flight in ESO's upcoming Elsweyr expansion, and earlier today ESO's creative director Rich Lambert showed audiences on Twitch how dragons would spend the game's next chapter burninating the homeland of the cat-like Khajiit. The new chapter launches for pre-orders buyers on May 20, and here are five good reasons why you'll want to be around in May when the fur and fire starts to fly. Here there be dragons, and frankly it's about time. I'm a little surprised to see them.

The ability to extract the sequence of game events for a given player's play-through has traditionally required access to the game's engine or source code. This serves as a barrier to researchers, developers, and hobbyists who might otherwise benefit from these game logs. In this paper we present two approaches to derive game logs from game video via convolutional neural networks and transfer learning. We evaluate the approaches in a Super Mario Bros. clone, Mega Man and Skyrim. Our results demonstrate our approach outperforms random forest and other transfer baselines.