csmangum
commented
2 hours ago 1. Predator Agent
- Behavior:
- Actively hunts other agents, prioritizing weaker or isolated targets.
- Gains resources by consuming its prey (e.g., health, energy, or stored resources).
- Avoids stronger agents or groups unless it’s desperate for resources.
- Key Parameters:
- Attack Strength: How much damage it inflicts on prey.
- Hunger Rate: How often it needs to consume prey to survive.
- Target Preference: Criteria for choosing prey (e.g., health, size, or proximity).
- Challenges Added:
- Creates survival pressure on prey agents.
- Forces prey agents to adapt by forming groups or developing defensive strategies.
2. Scavenger Agent
- Behavior:
- Collects resources left behind by dead or weakened agents.
- Avoids direct confrontation and predators.
- May compete with other scavengers for limited resources.
- Key Parameters:
- Scavenge Efficiency: How quickly it collects resources.
- Stealth: Ability to avoid detection by predators.
- Range: Maximum distance it will travel to scavenge.
- Challenges Added:
- Promotes efficiency in resource utilization.
- Indirectly increases competition between predators and scavengers.
3. Builder Agent
- Behavior:
- Collects resources to construct structures (e.g., resource generators, defensive walls).
- Builds structures that may benefit itself or other agents.
- Becomes vulnerable while building, requiring protection from allies.
- Key Parameters:
- Construction Cost: Resources needed to build structures.
- Structure Effect: Benefits provided by structures (e.g., extra resources, defense).
- Build Time: Time required to complete a structure.
- Challenges Added:
- Encourages cooperation for protection during building.
- Adds a long-term strategy layer to the simulation.
4. Swarm Agent
- Behavior:
- Gains strength or efficiency when in groups.
- Shares resources or coordinates actions with nearby swarm members.
- Splits into smaller swarms when resources are scarce.
- Key Parameters:
- Swarm Bonus: Boost to performance when in groups (e.g., speed, attack, or defense).
- Group Size Limit: Maximum number of agents in a swarm.
- Fragmentation Threshold: Resource level at which the swarm splits.
- Challenges Added:
- Demonstrates emergent group behavior.
- Requires careful resource management to sustain swarms.
5. Diplomat Agent
- Behavior:
- Attempts to form alliances or ceasefires between conflicting agents or groups.
- Shares resources or offers strategic advantages to gain allies.
- Avoids direct conflict and mediates disputes.
- Key Parameters:
- Negotiation Success Rate: Probability of forming an alliance.
- Resource Sharing Rate: Amount of resources offered to allies.
- Mediator Bonus: Ability to reduce aggression in nearby agents.
- Challenges Added:
- Adds a layer of diplomacy and cooperation.
- Balances aggression in competitive environments.
6. Mutator Agent
- Behavior:
- Introduces random mutations to nearby agents or the environment.
- Mutations can be beneficial, neutral, or harmful.
- Mutations may include changes to speed, resource efficiency, or aggression.
- Key Parameters:
- Mutation Radius: Distance within which agents can be mutated.
- Mutation Effect Probability: Likelihood of beneficial, neutral, or harmful mutations.
- Mutation Cooldown: Time between successive mutations.
- Challenges Added:
- Adds evolutionary pressure and unpredictability.
- Promotes diversity in agent behaviors and abilities.
7. Hive Agent
- Behavior:
- Acts as a central hub controlling multiple sub-agents or drones.
- Uses drones for gathering resources, attacking, or defending.
- Loses efficiency or power if drones are destroyed.
- Key Parameters:
- Drone Count: Number of drones the hive controls.
- Central Vulnerability: Damage taken if the hive is attacked directly.
- Drone Range: Maximum distance drones can travel from the hive.
- Challenges Added:
- Introduces centralized coordination mechanics.
- Forces other agents to target the hive strategically.
8. Merchant Agent
- Behavior:
- Trades resources with other agents, profiting from exchanges.
- Seeks out resource-rich agents to offer trades.
- Avoids predators and conflict zones.
- Key Parameters:
- Trade Efficiency: Profit gained from each trade.
- Trade Range: Maximum distance for initiating trades.
- Target Preference: Criteria for choosing trade partners (e.g., high resources or weak agents).
- Challenges Added:
- Introduces an economic layer to the simulation.
- Encourages resource redistribution and cooperation.
9. Berserker Agent
- Behavior:
- Enters a "rage" state when resources are scarce or under attack.
- Attacks indiscriminately, causing widespread destruction.
- Returns to normal behavior when conditions stabilize.
- Key Parameters:
- Rage Trigger: Resource or health threshold that triggers rage.
- Rage Duration: Time spent in the rage state.
- Attack Strength: Damage inflicted during rage.
- Challenges Added:
- Creates chaos and destabilizes populations.
- Forces other agents to adapt defensively.
10. Nomad Agent
- Behavior:
- Constantly moves to find new resource-rich areas.
- Avoids competition and conflict zones.
- Struggles in environments with evenly distributed resources.
- Key Parameters:
- Mobility: Speed and range of movement.
- Resource Preference: Criteria for choosing resource locations.
- Conflict Avoidance: Tendency to avoid crowded areas.
- Challenges Added:
- Creates dynamic spatial interactions.
- Shifts resource competition to new areas.
11. Symbiotic Agent
- Behavior:
- Forms mutually beneficial relationships with other agents.
- Shares resources or provides benefits (e.g., protection or healing).
- Becomes vulnerable if its partner is eliminated.
- Key Parameters:
- Symbiosis Bonus: Benefits provided to the partner.
- Partnership Strength: Duration and stability of the relationship.
- Partner Selection: Criteria for choosing a partner.
- Challenges Added:
- Promotes interdependence and cooperative dynamics.
- Forces agents to weigh risks and rewards of partnerships.
12. Opportunist Agent
- Behavior:
- Exploits weaknesses or disruptions in other agents.
- Targets resource-rich or weakened agents.
- Avoids direct conflict unless it’s highly advantageous.
- Key Parameters:
- Exploit Efficiency: Speed of resource extraction from targets.
- Target Criteria: Prioritization of weakened or distracted agents.
- Conflict Avoidance: Probability of avoiding stronger agents.
- Challenges Added:
- Punishes inefficient or overly aggressive behaviors.
- Encourages strategic planning to avoid exploitation.
13. Explorer Agent
- Behavior:
- Prioritizes discovering new areas or resource hotspots.
- Shares information with allies (if cooperative) or exploits it (if independent).
- Gains bonuses for finding unclaimed resources.
- Key Parameters:
- Exploration Range: Maximum distance traveled to discover new areas.
- Discovery Bonus: Reward for finding unclaimed resources.
- Sharing Behavior: Willingness to share discoveries with others.
- Challenges Added:
- Encourages exploration and spatial dynamics.
- Highlights the importance of resource location.
14. Self-Sacrificing Agent
- Behavior:
- Sacrifices itself to benefit others in its group.
- Transfers resources or boosts abilities of nearby agents upon "death."
- Targets aggressive agents to protect its group.
- Key Parameters:
- Sacrifice Bonus: Benefit provided to allies upon death.
- Target Preference: Prioritization of threats to the group.
- Sacrifice Trigger: Conditions under which the agent sacrifices itself.
- Challenges Added:
- Promotes altruistic behaviors and group survival.
- Balances aggressive and cooperative strategies.
15. Infectious Agent
- Behavior:
- Spreads a "virus" that weakens or alters other agents.
- The infection may reduce resource efficiency, impair decision-making, or alter behavior.
- Some agents may develop immunity or adapt to the infection.
- Key Parameters:
- Infection Radius: Range of the infection’s spread.
- Infection Duration: Time the virus affects an agent.
- Mutation Rate: Probability of the virus evolving into new forms.
- Challenges Added:
- Adds a layer of environmental pressure.
- Forces adaptation and resilience in agent populations.
16. Hoarder Agent
- Behavior:
- Collects and stores as many resources as possible.
- Rarely shares or uses resources unless necessary.
- Becomes a target for other agents due to resource stockpiles.
- Key Parameters:
- Hoarding Capacity: Maximum resources it can store.
- Sharing Threshold: Resource level at which it begins to share.
- Defense Mechanism: Ability to protect its stockpile.
- Challenges Added:
- Creates resource scarcity.
- Triggers competition or cooperation to counterbalance hoarding.
**17. Teacher Agent
**
- Behavior:
- Helps other agents improve strategies or adaptability.
- Shares information or resources to guide others.
- Increases efficiency or adaptability of nearby agents.
- Key Parameters:
- Teaching Radius: Range within which it can influence others.
- Knowledge Bonus: Benefits provided to taught agents.
- Resource Cost: Resources required to teach.
- Challenges Added:
- Encourages knowledge-sharing and boosts agent evolution.
- Creates competition for access to teacher agents.
The current simulation model has been successful in exploring basic agent dynamics, but to push the boundaries of emergent behavior and complexity, it would be valuable to introduce new agent types. These agents will have unique strategies and interactions that can add depth, challenge existing paradigms, and foster unpredictable outcomes.
This issue proposes implementing and experimenting with the following new agent types:
Agent Types to Implement:
Tasks:
Implementation:
Parameter Tuning:
Visualization:
Experimental Runs:
Data Collection:
Documentation:
Expected Outcomes:
Additional Context:
This issue lays the groundwork for diversifying the simulation environment, introducing agents that mimic real-world ecological, social, and economic behaviors. Successful implementation could inspire further experimentation with hybrid agent types or dynamic environmental factors.