Utility Intelligence Editor¶

Opening the Editor Window¶

There are two ways to open the Utility Intelligence Editor:

1. Double-click on a Utility Intelligence Asset in the Project Window
2. Select Tools -> Carlos Lab -> Utility Intelligence -> Editor Window, and then click on a Utility Intelligence Asset in the Project Window
   

Toolbar¶

File Menu¶

• Import Data: Import the Intelligence Data from a JSON file.
• Export Data: Export the Intelligence Data to a JSON file.
• Show Data: Show the Intelligence Data in JSON format.
• Clear Data: Clear all the Intelligence Data.

With the File Menu Toolbar, you can edit the Intelligence Data directly in JSON format using your Text Editor, then import it into the Intelligence Asset:

Tabs¶

Intelligence Tab¶

In Intelligence Tab, you can add new Decision Makers, Decisions, Considerations as many as you want

Status Preview¶

Besides that, you can preview the status of multiple components for any changes, such as inputs, and response curves, right in the Editor without needing to play the game. For example:

• The score and status of each consideration, indicating which considerations are executed and discarded.
• The score and status of each decision, indicating which decision is chosen based on the current inputs, normalizations, and response curves.

I believe this feature will save a lot of your time while designing AIs for your games.

Runtime Status¶

Additionally, you can view the current status of multiple components during runtime. It is similar to Status Preview but includes additional runtime information, such as the best target for each decision, and the current status of each task.

Runtime Editing¶

Furthermore, you can modify AI behavior during runtime for testing purposes without needing to replay the game.

Target Filter Tab¶

In Target Filter Tab, you can add new target filters to filter targets for each decision:

Consideration Tab¶

In Consideration Tab, you can add new considerations and select the input, the normalization and the response curve for your considerations. Besides that, you can check how they affect the consideration score by changing them:

Input Tab¶

In Input Tab, you can add as many inputs as you want to the current agent:

For example, in our demos, if you set the input values as follows:

Then you will notice that the decision: MoveToEnemy is selected in the Intelligence Tab. This means you can determine which decision will be chosen based on the current input values without needing to play your game. Therefore, you will have more time to design your AIs.

Blackboard Tab¶

In Blackboard Tab, you can add variables to share information between multiple components within the agent, such as target filters, tasks, and inputs.