Biennial Report of the Commissioner of Fisheries and Game for Indiana

Mode of access: Internet.

Biennial Report of the State Game and Fish Commissioner of Minnesota

Mode of access: Internet.

Report of the Commissioners of Inland Fisheries and Game

Mode of access: Internet.

Saddle and camp in the Rockies; an expert's picture of game conditions in the heart of our hunting country,

Mode of access: Internet.

Biennial Report of the State Board of Fisheries and Game

Mode of access: Internet.

Special Report of the Board of Commissioners on Fisheries and Game Relative to the Fish and Fisheries of Buzzards Bay

Mode of access: Internet.

The art of practical whist : being a series of letters descriptive of every part of the game, and the best method of becoming a skilful player /

Mode of access: Internet.

Effects of highway construction and use on big game population /

Mode of access: Internet.

Fish and game code.

The ed. issued by the Board of Fish and Game Commissioners (the under its earlier name: State Board of Fish Commissioners); -28th, 35th- by the Division of Fish and Game of the Dept. of Natural Resources (on cover of 27th ed.: Pub. by the Fish and Game Commission); 29th-34th comp. by the Bureau of Game Conservation of the Division of Fish and Game

Bottom-up review : analysis of DOD war game to test key assumptions : report to the Chairman and Ranking Minority Member, Committee on National Security, House of Representatives /

"B-272119"--P. 1.

Combining influence maps and cellular automata for reactive game agents

Agents make up an important part of game worlds, ranging from the characters and monsters that live in the world to the armies that the player controls. Despite their importance, agents in current games rarely display an awareness of their environment or react appropriately, which severely detracts from the believability of the game. Some games have included agents with a basic awareness of other agents, but they are still unaware of important game events or environmental conditions. This paper presents an agent design we have developed, which combines cellular automata for environmental modeling with influence maps for agent decision-making. The agents were implemented into a 3D game environment we have developed, the EmerGEnT system, and tuned through three experiments. The result is simple, flexible game agents that are able to respond to natural phenomena (e.g. rain or fire), while pursuing a goal.