The following competitions are being held at CIG 2018:<\/p>\n
Computational Intelligence in Games – Short Video Competition<\/strong><\/p>\n Organizers: <\/strong><\/p>\n Summary:<\/strong> The first IEEE CIS Short Video competition took place as one of the competitions for IEEE CIG 2018 in Maastricht on August 15th<\/sup>.\u00a0 The aim is to run these short video competitions in conjunction with all IEEE CIS sponsored conferences, as a way to provide source of interesting videos showcasing CI.<\/p>\n The videos were presented in a plenary session, with the audience voting to deciding the ranking.\u00a0 \u00a0Congratulations to the winner, runners up and indeed all the entrants for their excellent videos.<\/p>\n Results:<\/strong><\/p>\n The results were:<\/p>\n Other entries (no particular order)<\/p>\n Hearthstone AI<\/strong><\/p>\n Organizers:<\/strong><\/p>\n Description:<\/strong> The collectible online card game Hearthstone features a rich testbed and poses unique demands for generating artificial intelligence agents. The game is a turn-based card game between two opponents, using constructed decks of thirty cards along with a selected hero with a unique power. Players use their limited mana crystals to cast spells or summon minions to attack their opponent, with the goal to reduce the opponent’s health to zero. The competition aims to promote the stepwise development of fully autonomous AI agents in the context of Hearthstone. During the game, both players need to play the best combination of hand cards, while facing a large amount of uncertainty. The upcoming card draw, the opponent\u2019s hand cards, as well as some hidden effects played by the opponent can influence the player\u2019s next move and its succeeding rounds. Predicting the opponent\u2019s deck from previously seen cards, and estimating the chances of getting cards of the own deck can help in finding the best cards to be played. Card playing order, their effects, as well as attack targets have a large influence on the player\u2019s chances of winning the game. Despite using premade decks players face the opportunity of creating a deck of 30 cards from the over 1000 available in the current game. Most of them providing unique effects and card synergies that can help in developing combos. Generating a strong deck is a step in consistently winning against a diverse set of opponents. Tracks: The competition will encourage submissions to the following two separate tracks, which will be available in the first year of this competition: Premade Deck Playing\u201d-track: the participants will receive a list of decks and play out all combinations against each other. Determining and using the characteristics of player\u2019s and the opponent\u2019s deck to the player\u2019s advantage will help in winning the game. User Created Deck Playing-track: invites all participants in creating their own decks or choosing from the vast amount of decks available online. Finding a deck that can consistently beat a vast amount of other decks will play a key role in this competition track. Additionally, it gives the participants the chance in optimizing the agents\u2019 strategy to the characteristics of their chosen deck.<\/p>\n Competition Webpage: http:\/\/www.is.ovgu.de\/Research\/HearthstoneAI.html<\/a>\n
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\nCompetition Entry Deadline: July15th 2018 23:59 UTC-12
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