Graph drawing by force-directed placement
Software—Practice & Experience
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Digital Control Systems
Programmable self-assembly using biologically-inspired multiagent control
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Tutorial on agent-based modeling and simulation part 2: how to model with agents
Proceedings of the 38th conference on Winter simulation
Facilitating evolutionary innovation by developmental modularity and variability
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Bottom-up design patterns and the energy web
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Ubiquitous computing and communication environments connect systems and people in unprecedented ways, but also fundamentally challenge the mindset of traditional systems engineering. Complex techno-social systems exhibit spontaneous self-organization properties, based on decentralized interactions among a multitude of agents, that have preceded our ability as human designers to fully comprehend and control them. This should prompt us to steer away from managing details and, instead, focus on establishing the generic conditions for systems to develop and evolve under our guidance. In alignment with this paradigm shift we propose a methodological framework termed emergent engineering for deploying large-scale "eNetwork" systems, and illustrate it with self-organized security (SOS) scenarios. It involves an abstract model of programmable network self-construction in which nodes execute the same code, yet differentiate according to position. We illustrate these principles on a future application to SOS pointing to how this could lead to a new type of controllable self-organization, able to dynamically co-evolve the system with its environment.