Games with Artificial Intelligence-Free-Samples-Myassignmenthelp

Question: You are to choose a topic in AI and Robotics, and then ?nd and read three research papers on that topic, summarizing each of the three papers. Answer: AI-based Game Design Patterns AI is mainly used for non-player characters to support the main player of the game. However, the literature suggests that AI must to handle more player interactions rather than working in the background. Various games have been designed such as Spy Party, Galactic Arms Race, Black and White and many more where the AI interacts with the player to develop a rich gaming experience for the players. Each of the games have different applications of AI. In Spy Party, the AI is used as a role-model where the players study the AI movements and one player must imitate the AI whereas the other player must detect the player from the AI. However, the limitation to the AI integration is that the AI is still native and not complex. The outcome achieved was that the games became more interactive. TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games Brood War and StarCraft are different real-time strategy games. The literature elaborates that the player experience from these games can be improved by incorporating AI. These games have been used as a benchmark for measuring the progress of AI research. Popular games such as Mario AI and Minecraft have been interfaced with deep-learning to develop the bot interactions with the players. Deep Q-Network is one of the solutions provided in this literature that aided in achieving human-like interactions for the non-player characters. Various experiments were conducted that collected data from player games and used those interactions to develop the AI interactions. The limitations would be that the machine learning is based on human input data collection and thus it limits the learning growth curve. The outcome is better real-time strategy games with high level game character interactions. Hierarchical Portfolio Search: Prismatas Robust AI Architecture for Games with Large Search Spaces Strategy games have large search spaces. This means that the non-player characters of the game must select one of the strategies among the various combinations that are generally coded in the database. Chess is one such game where there are huge numbers of strategical and tactical methodologies that can be applied to progress through the game achieve the objective of check-mate. This literature aids in elaborating the advantages of using AI for such games. An AI has the capability to adapt to different situations by selecting the best possible method among a library of methodologies. Various experiments prove that the utilization of AI is beneficial to develop a rich experience for these games. The limitation being sometimes the calculation time taken by the AI might not be affordable by the users. The outcome was challenging bot opponents in these games that can adapt to any situation Reference List Churchill, D. and Buro, M., 2015, September. Hierarchical portfolio search: Prismatas robust AI architecture for games with large search spaces. InProceedings of the Artificial Intelligence in Interactive Digital Entertainment Conference(pp. 16-22). Synnaeve, G., Nardelli, N., Auvolat, A., Chintala, S., Lacroix, T., Lin, Z., Richoux, F. and Usunier, N., 2016. Torchcraft: a library for machine learning research on real-time strategy games.arXiv preprint arXiv:1611.00625. Treanor, M., Zook, A., Eladhari, M.P., Togelius, J., Smith, G., Cook, M., Thompson, T., Magerko, B., Levine, J. and Smith, A., 2015. Ai-based game design patterns.