Core-Concepts
Core Concepts
Overview
Zens Framework is built around several key concepts that work together to create realistic agent-based city simulations. This document explains these core concepts and how they interact. In the following sections you will find even deeper explanations on Citizens and Interactions types and structures, here we do an overview
Stable Features
1. Citizens (Agents)
Citizens are the fundamental units of the simulation. Each citizen has:
Identity
Unique ID
Name
Age
Occupation
Personality traits
Personal values
Memory System
Records of interactions
Important events
Relationships
Personal history
Relationships
Family connections
Friendships
Professional networks
Social dynamics
2. Interactions
Interactions are the dynamic exchanges between citizens that drive the simulation:
Types
Casual conversations
Family gatherings
Professional meetings
Social events
Components
Participants
Context
Duration
Impact on relationships
Memory formation
3. Memory Management
The memory system determines how citizens remember and process experiences:
Characteristics
Importance rating
Emotional impact
Related citizens
Context preservation
Time decay
4. Relationship Dynamics
Relationships evolve based on:
Interaction frequency
Interaction quality
Shared experiences
Compatible values
Social context
Experimental Features
Note: The following features are under development and not fully integrated into the core framework.
Multi-City System
City networks
Inter-city relationships
Citizen migration
Cultural exchange
Economic System
Virtual currencies
Markets and trade
Economic relationships
Resource management
Internet Connectivity
Web interactions
Information access
Online relationships
Digital footprint
Cultural Events
Festivals and celebrations
Community gatherings
Cultural traditions
Social impact
Education System
Skill development
Knowledge transfer
Learning institutions
Educational progression
Architecture
The framework follows a modular architecture:
Best Practices
Citizen Management
Start with a small population (10-20 citizens)
Build relationships gradually
Monitor interaction frequency
Interaction Design
Keep interactions contextually appropriate
Balance random and planned interactions
Consider relationship history
Memory Handling
Prioritize significant events
Maintain reasonable memory limits
Consider temporal relevance
Relationship Building
Allow organic relationship growth
Consider personality compatibility
Balance positive and negative interactions
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