TY - GEN
T1 - Game Data Visualization Using Artificial Intelligence Techniques
AU - Mohapatra, Srikanta Kumar
AU - Sarangi, Prakash Kumar
AU - Sahu, Premananda
AU - Sharma, Santosh Kumar
AU - Sharma, Ochin
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
PY - 2023
Y1 - 2023
N2 - Games usually have a tendency to have the properties of massive use of a location and excessive complexity, making them notable benchmarks for evaluating numerous strategies which consist of AI ones. Broadly talking, techniques are utilized in video games in a position to make them larger exciting, immersive, smarter, and many others. Both of these prove to be excellent types of AI recreation. Since there are few viewpoints on contemporary results in the activity AI discipline from the standpoint of the fundamental program, in our work we have taken a scientific look at a number of commonplace that seems to be up to software program fields of pastime AI: viable agents in non-player character studies and recreation stage technological know-how in procedural content material fabric generation. Here we have proposed a model which can provide the different game visualization in the form of terms and conditions using different AI-based algorithms. In addition, AI for everyday tasks and hybrid genius for different games are explored.
AB - Games usually have a tendency to have the properties of massive use of a location and excessive complexity, making them notable benchmarks for evaluating numerous strategies which consist of AI ones. Broadly talking, techniques are utilized in video games in a position to make them larger exciting, immersive, smarter, and many others. Both of these prove to be excellent types of AI recreation. Since there are few viewpoints on contemporary results in the activity AI discipline from the standpoint of the fundamental program, in our work we have taken a scientific look at a number of commonplace that seems to be up to software program fields of pastime AI: viable agents in non-player character studies and recreation stage technological know-how in procedural content material fabric generation. Here we have proposed a model which can provide the different game visualization in the form of terms and conditions using different AI-based algorithms. In addition, AI for everyday tasks and hybrid genius for different games are explored.
KW - AI games
KW - Artificial intelligence
KW - Game visualization
KW - Human behavior
UR - http://www.scopus.com/inward/record.url?scp=85151057236&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-8825-7_30
DO - 10.1007/978-981-19-8825-7_30
M3 - Conference contribution
AN - SCOPUS:85151057236
SN - 9789811988240
T3 - Lecture Notes in Networks and Systems
SP - 351
EP - 360
BT - Proceedings of International Conference on Recent Trends in Computing - ICRTC 2022
A2 - Mahapatra, Rajendra Prasad
A2 - Parwekar, Pritee
A2 - Peddoju, Sateesh K.
A2 - Roy, Sudip
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th International Conference on Recent Trends in Computing, ICRTC 2022
Y2 - 3 June 2022 through 4 June 2022
ER -