Unity: 2017 Game Ai Programming

Features like NavMesh Obstacles allow for runtime carving, meaning agents can navigate around moving objects.

This paper explores the landscape of Artificial Intelligence in Unity 2017, focusing on the core architectural patterns and built-in features that allow developers to create believable non-player characters (NPCs) and intelligent game worlds. 1. Introduction to Game AI in Unity 2017 Unity 2017 Game AI Programming

Unity 2017 provides a robust ecosystem for game AI, moving beyond simple scripting to integrated systems. The goal of game AI in this era is not necessarily to replicate human intelligence but to "sell the illusion of life" through responsive and organic entity behaviors. Key areas of focus include pathfinding, decision-making architectures (FSMs and Behavior Trees), and advanced sensory systems. 2. Pathfinding and Navigation Features like NavMesh Obstacles allow for runtime carving,

In Unity 2017 (introduced via the AI Navigation package), NavMeshes became components rather than scene-wide objects. This allows for multiple meshes within a single scene, specific to different agent types. Introduction to Game AI in Unity 2017 Unity

These components enable specific actions like jumping over gaps or climbing ladders, which cannot be represented by simple walkable surfaces. 3. Decision-Making Architectures

Unity 2017 supports various patterns for NPC logic, ranging from simple to highly complex.