Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
A social-psychological model for synthetic actors
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Modelling social action for AI agents
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Implementing soft real-time agent control
Proceedings of the fifth international conference on Autonomous agents
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
Artificial Intelligence
On Social Commitment, Roles and Preferred Goals
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Humans and Automation: System Design and Research Issues
Humans and Automation: System Design and Research Issues
Modelling Norms for Autonomous Agents
ENC '03 Proceedings of the 4th Mexican International Conference on Computer Science
Trust and Reputation for Service-Oriented Environments: Technologies For Building Business Intelligence And Consumer Confidence
Policy-Based Network Management: Solutions for the Next Generation (The Morgan Kaufmann Series in Networking)
The scope and importance of human interruption in human-computer interaction design
Human-Computer Interaction
Influencing agent group behavior by adjusting cultural trait values
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Oversight of reorganization in massive multiagent systems
Multiagent and Grid Systems - Agent Based Computing: From Model to Implementation
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Large collections of communities such as those found in complex control systems necessitate sophisticated techniques for high-level human supervision due to their requirements of influence spanning over individuals, communities, and global system behaviours. We have developed psycho-socio-cultural models for mediation of system-level behaviours and interactions. The ensuing lowered human cognitive load will enable supervisors to effectively guide large systems with competing objectives. This model paves the way for developing the 'Man On The Loop' (MOTL) paradigm, a phrase we are proposing for a novel human supervision role that contrasts with typical micromanagement. We have highlighted and validated MOTL parameters through the implementation of a domain-neutral simulation and compared our results with those found in natural systems.