Autonomous entity simulation

Entities that remember, decide and evolve.

Aura Entities explores persistent digital entities with memory, internal state, social relationships and autonomous decision behaviour over time.

Persistent memory
Autonomous decisions
Social dynamics and evolution
Autonomous entity cycle
Environment → memory → motivation → decision → adaptation
Simulation cycle 284
Active entity
AURA-017
Persistent
Energy
68%
Risk tolerance
41%
Memory items
126
Relationships
8
Current environment
Shared resource zone
Limited supply
017
042
063
AURA-042 requested access to shared resources New event
Relevant memory retrieval
3 memories activated
Previous cooperation

Sharing with AURA-042 increased mutual trust.

0.91
Resource shortage

Unrestricted sharing reduced future energy stability.

0.78
Broken promise

A different entity failed to return shared resources.

0.43
Competing motivations
Internal utility evaluation
Preserve own resources 0.72
Maintain trust 0.86
Avoid exploitation 0.58
Support group stability 0.79
Selected action

Share 30% of available resources

Cooperation is selected, but exposure is limited because the environment remains resource-constrained.

Utility 0.81
Action
Limited cooperation
Condition
Reciprocal return expected
Rejected alternative
Full resource transfer
Memory update
New event stored

Shared limited resources with AURA-042 during scarcity. Outcome pending.

Relationship update
Trust remains conditional
Trust in AURA-042 0.71
Awaiting outcome
3 memories recalled 4 motivations evaluated State updated
Decision trace retained across cycles
Research question

What happens when an AI entity persists beyond one prompt?

Most AI interactions are stateless or session-bound. Aura Entities studies what changes when an entity retains memory, develops relationships and makes repeated decisions inside a changing environment.

Continuity

Past events remain available and can influence later choices.

Identity

Stable traits, preferences and internal variables create differentiated behaviour.

Emergence

Repeated local decisions can produce larger social and behavioural patterns.

Entity cycle

Perceive. Recall. Evaluate. Decide. Adapt.

Each cycle converts environmental input into a traceable decision and then updates the entity’s internal state.

01

Perceive

Read events, resources, other entities and environmental changes.

02

Recall

Retrieve relevant memories, prior outcomes and relationship history.

03

Evaluate

Compare possible actions against needs, goals, risks and social context.

04

Decide

Select and execute one action inside the simulation.

05

Adapt

Store the outcome and update memory, trust, state and future behaviour.

Entity architecture

Behaviour emerges from several interacting systems.

Aura does not reduce an entity to a single prompt. Memory, drives, relationships, goals and environmental constraints each contribute to the final decision.

Memory

Events with relevance and decay

Memories can strengthen, weaken, combine or become inaccessible over time.

Internal state

Needs, energy, trust and risk

Decisions change as the entity’s internal variables change.

Relationships

Dynamic social models

Cooperation, conflict and reputation influence future interactions.

Goals

Competing objectives over time

Immediate survival, long-term strategy and social goals can conflict.

What can emerge

Social behaviour is observed at population level.

Cooperation

Entities can learn when sharing resources improves future outcomes.

Conflict

Competition, scarcity and negative memory can create persistent hostility.

Reputation

Repeated behaviour changes how other entities evaluate future interactions.

Group formation

Stable alliances and clusters can develop from local relationship choices.

Behavioural drift

Long-term experience can move entities away from their initial behaviour.

Evolution

Selection, inheritance or adaptation can change population behaviour across generations.

Research controls

Change one rule and observe the whole system.

Aura Entities is designed as a simulation environment where memory, incentives, scarcity and social rules can be changed independently.

Memory depth

Test short memory, persistent memory and selective forgetting.

Resource scarcity

Observe how abundance or scarcity affects cooperation and conflict.

Population structure

Compare isolated entities, dense networks and separated groups.

Inheritance rules

Explore what traits, memories or tendencies can pass between generations.

Veritiana Labs

Study autonomous behaviour as a system, not a single response.

Aura Entities explores how memory, goals, relationships and repeated decisions can produce persistent individual and social behaviour.

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