VickScarlet/lifeRestart
LifeRestart
lifeRestart is a life simulation game where players make sequential decisions that affect their character's future outcomes and final score. It utilizes a deterministic state machine and a stat-based character manager to track health, wealth, happiness, and relationships as they update dynamically based on in-game events.
The simulation employs a seeded random number generator to ensure that identical sequences of player decisions produce reproducible outcomes. It features a reincarnation loop that allows players to start over after death, carrying over accumulated knowledge or meta-progression to improve results in subsequent life cycles.
The project covers branching narrative gameplay and random event generation, using a weighted probability matrix to create divergent life paths. It manages character progression through a turn-based decision loop and a stateful timeline model, concluding each simulation with a score-aggregation engine that weights various character attributes.
Features
- Life Simulation Games - Provides an interactive simulation of a lifetime where decisions determine character statistics and final outcomes.
- Branching Narrative Design - Implements a design where player choices lead to divergent story paths and character development.
- Branching Storylines - Provides narrative structures that evolve and branch based on player decisions and character state.
- Simulation Games - Provides a simulation game where players manage a complex system representing a human life.
- Character Stat Systems - Tracks and balances character attributes like health, wealth, and happiness in response to life events.
- Turn-Based Loops - Uses a turn-based loop to synchronize simulation updates with discrete player decisions.
- Attribute-Based Frameworks - Manages character attributes like intelligence and happiness through a data-driven attribute system.
- Random Number Generator Seeding - Uses seed values to initialize random number generators, ensuring identical decision paths yield reproducible outcomes.
- Chronological Life Tracking - Maintains a persistent state machine that tracks chronological milestones and attributes across the character's entire life.
- Simulation Engines - Implements an event-driven architecture to simulate deterministic life-cycle processes and state changes.
- Simulation Loops - Processes user decisions as events that trigger state changes across multiple character domains in a sequential timeline.
- Deterministic State Transitions - Utilizes a state machine that guarantees identical outcomes given the same sequence of player decisions.
- Weighted Score Aggregators - Calculates final life outcomes by aggregating weighted contributions from multiple character attributes.
- Gameplay Loop Simulators - Simulates the core behavioral logic of repeating a life cycle through a structured gameplay loop.
- Meta-Progression Systems - Tracks accumulated knowledge across multiple playthroughs to influence outcomes in subsequent life cycles.
- Random Number Generation - Generates unpredictable life events using pseudo-random values to alter the character's trajectory.
- Reincarnation Loops - Implements a loop allowing players to restart after death with accumulated knowledge for better outcomes.
- Meta-Progression Systems - Provides a reincarnation loop that enables meta-progression by carrying over knowledge to subsequent lives.
- Weighted Probability Matrices - Evaluates decision outcomes against a matrix of weighted probabilities to generate divergent life paths.
- Deterministic Simulation Workflows - Uses seeded random generation to exactly recreate sequences of events for deterministic simulation and debugging.
