Name
Abstract | ||
|---|---|---|
Developing computer game agents is often a lengthy and expensive undertaking. Detailed domain knowledge and decision-making procedures must be encoded into the agent to achieve realistic behavior. In this paper, we simplify this process by using the ICARUS cognitive architecture to con- struct game agents. The system acquires structured, high fi- delity methods for agents that utilize a vocabulary of con- cepts familiar to game experts. We demonstrate our ap- proach by first acquiring behaviors for football agents from video footage of college football games, and then applying the agents in a football simulator. |
Year | Venue | Keywords |
|---|---|---|
2009 | AIIDE | artificial intelligence,multiagent systems,human behavior,cognitive architecture,behavior,cognitive science,domain knowledge |
Field | DocType | Citations |
Video game design,Game mechanics,Computer science,Game art design,Game design document,Game design,Multi-agent system,Artificial intelligence,Game Developer,Game development tool,Multimedia,Machine learning | Conference | 6 |
PageRank | References | Authors |
0.68 | 10 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nan Li | 1 | 23 | 2.23 |
| David J. Stracuzzi | 2 | 91 | 25.68 |
| Gary Cleveland | 3 | 6 | 1.35 |
| Tolga Könik | 4 | 86 | 8.21 |
| Daniel G. Shapiro | 5 | 187 | 88.21 |
| Matthew Molineaux | 6 | 116 | 13.83 |
| David W. Aha | 7 | 4103 | 620.93 |
| Kamal Ali | 8 | 21 | 2.20 |