Example Video:

https://www.youtube.com/watch?v=y_ZLmpLML_4

The AI Emotions toolkit simulates a wide variety emotions found in humans and other mammals. Drawing from recent neuroscientific research, it can generate a broad spectrum of emotions based upon the objects and experiences the agent encounters in it's environment. These include:

· Joy

· Distress

· Hope

· Fear

· Satisfaction

· Frustration

· Uncertainty

The Emotions Toolkit is an entire behavior system designed to equip an NPC with realistic emotional responses. In humans , the decision making system that underpins our emotions takes the form of dopamine based model-free reinforcement learning (intuitive, unconscious decisions making). The Q-learning algorithm(included) can approximate the strategic decisions made by humans and is used in the toolkit to generate behaviors that then drive the agent's emotional responses.

Emotions in this case are used both for communicating the NPC's current relation to its goal state(s), but also for guiding strategic decisions . This closely corresponds with the way emotions serve dual purposes in biological reinforcement learners such as ourselves.

While an understanding of Q learning is not required for making use of the emotions package provided, it will be helpful. Refer to the Q Learning Project in the Unreal Marketplace