Skip to main navigation
Skip to search
Skip to main content
Teesside University's Research Portal Home
Search content at Teesside University's Research Portal
Home
Profiles
Research units
TeesRep
Student theses
Projects
Datasets
Equipment
Press/Media
Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory
The Anh Han
Department of Computing & Games
Centre for Digital Innovation
Research output
:
Contribution to journal
›
Review article
›
peer-review
580
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Agent-based Modeling
40%
Agent-based Simulation
40%
AI Governance
20%
AI Regulation
20%
AI Safety
20%
Behavioral Strategy
20%
Cognitive Mechanisms
20%
Collective Behavior
40%
Complex Networks
20%
Condition Variables
20%
Emergent Behavior
100%
Emotional Mechanism
20%
Equilibrium Analysis
20%
Evolutionary
20%
Evolutionary Game
100%
Game Agent
20%
Interacting Agents
20%
Mathematical Study
20%
Modeling Techniques
20%
Multi-agent Systems
100%
Multiplayer Games
20%
Prosocial Behavior
40%
Safety Development
20%
Simulation Techniques
20%
Systems Research
20%
Systems with Impacts
20%
Virtual Reality Games
20%
Computer Science
Agent-Based Modeling
40%
AI Safety
20%
Complex Networks
20%
Emergent Behavior
100%
Equilibrium Analysis
20%
Modeling and Simulation
20%
Multi Agent Systems
100%
Research Direction
20%
Simulation Mode
20%
Psychology
Artificial Intelligence
25%
Game Theory
100%
Prosocial Behavior
50%
Immunology and Microbiology
Artificial Intelligence
100%