AI Basic Foundations

[erematorg]

Problem Description

LP currently lacks an AI system, hindering the development of dynamic behaviors for entities within the ecosystem. Without AI, entities cannot interact intelligently with their environment or other entities, limiting the depth and immersion of the gameplay experience. It also matters to make AI living by itself and not only being for the player purpose.

Proposed Solution

Implement foundational blocks for the AI system in LP to enable entities to exhibit simple behaviors, interact with their environment, and respond to stimuli. This involves laying down the groundwork for future AI development and creating a framework that can be expanded upon in later iterations.

The goal is to develop basic AI behaviors for entities, enabling them to perform simple decision-making and actions within a mock environment such as:

• Implement Behavior Trees for hierarchical decision-making #52
• Develop Finite State Machines (FSMs) for state-based behaviors #53
• Create a Simple Rule-Based System for basic logic #54
• Introduce Randomization and Probability for variability #55
• Integrate Basic Pathfinding Algorithms for navigation #56
• Enable Dynamic Environment Interaction for responsive AI #57

Alternatives Considered

Exploring alternative approaches such as finite state machines, rule-based systems, or pre-scripted behaviors for initial AI implementation in the project, considering the simplicity and scalability of each approach for laying down the foundational blocks.

Additional Context

The implementation of basic AI foundational blocks is crucial for kickstarting the development of LP's ecosystem simulation. While the initial focus is on creating simple behaviors and interactions, this feature request sets the stage for future expansions and enhancements to the AI system.