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ACT-AI

Agents, Coalitions, Compositions, and Tasks

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Hi

The project aims to construct a multi-agent solution accompanied by a learning mechanism. Tasks are spawned depending on the state of the game and each task is assigned a coalition with a composition of unit types. The agents are constantly attempting to fulfill the requirements of a unit composition according to their capabilities. The final result will consist of an AI capable of improving its compositions and agent reactions as new information is learned over the course of multiple matches. This learning process will result in more wins for the AI over time.

What are Coalitions?

A coalition is a group of agents assigned to a common task. Each coalition is assigned a target composition which must be satisfied by the agents before the coalition is activated.

What are Compositions?

A StarCraft player's strategy revolves around achieving a specific unit type composition in order to take advantage of the opponent's weaknesses and win the game. The composition contains information regarding its effectiveness at accomplishing certain tasks or engaging another composition. This information is used to improve the composition across multiple games. Upon failure, a composition is capable of noting the reason for failure and improving itself in that direction.

What are Agents?

Each unit in the game is represented by an agent capable of acting autonomously according to the unit's capabilities. The set of decisions that an agent can make are directly mapped to a unit's possible actions.

What are Tasks?

The most essential aspect of the solution is to formalise a set of tasks capable of representing any abstract intention that a player might have. There are two super-tasks which represent the most abstract intentions.

In addition, a set of sub-tasks are used in order to aid the execution of the super-tasks.