Emergence: from chaos to order
Emergence: from chaos to order
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Dynamics of complex 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
Distributed Systems: Principles and Paradigms
Distributed Systems: Principles and Paradigms
Introduction to Multiagent Systems
Introduction to Multiagent Systems
A Taxonomy for artificial embryogeny
Artificial Life
Emergent engineering design: design creativity and optimality inspired by nature
Emergent engineering design: design creativity and optimality inspired by nature
Network Culture: Politics for the Information Age
Network Culture: Politics for the Information Age
Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Self-organization in Autonomous Sensor and Actuator Networks
Self-organization in Autonomous Sensor and Actuator Networks
Tutorial on agent-based modeling and simulation part 2: how to model with agents
Proceedings of the 38th conference on Winter simulation
Organic Computing - Understanding Complex Systems
Organic Computing - Understanding Complex Systems
Bottom-up design patterns and the energy web
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Autonomous Self-Assembly in Swarm-Bots
IEEE Transactions on Robotics
Concepts in complexity engineering
International Journal of Bio-Inspired Computation
An evo-devo approach to architectural design
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Designing evolvable systems in a framework of robust, resilient and sustainable engineering analysis
Advanced Engineering Informatics
A review of morphogenetic engineering
Natural Computing: an international journal
Decentralized multi-agent service composition
Multiagent and Grid Systems
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We shed light on the disruptive advances brought by the ubiquity of computing and communication environments, which link devices and people in unprecedented ways into a new kind of techno social systems and infrastructures recently named 'cyber-physical ecosystems' (CPE). While pointing to fundamental biases that prevent the traditional engineering school of thought from coping with the magnitude in scale and complexity of these new technological developments, we attempt to lay out the foundation for a new way of thinking about systems design, referred to as emergent engineering. One major characteristic of CPE is that, given their very nature, they cannot be a priori defined but rather emerge from the interactions among a myriad of elementary components. We show how this emergence can be guided by balancing positive and negative feedback, which tunes the growth of new configurations and adapts the system to sharp and unexpected changes. Rather than attempting to design the system as a whole, the components of the system are endowed with capabilities of dynamic self-assembly, disassembly and re-assembly to enable 'evolve-ability'. As paradoxical as it may seem to the classically trained systems engineer, this new attitude of the designer as an 'enabler' (vs. 'dictator' of a system's blueprint) allows the system to seamlessly adapt its development and evolve to meet dynamic goals and unexpected situations in an anticipative manner – an impossible feat under the traditional approach. To the extent that it produces new functionality, the proposed method enables a system to evolve via its ability of pervasive adaptation. Emergent engineering lies at a boundary where theoretical discovery meets systems engineering, computing and communications into a new convergent science of complex systems design. It currently transforms systems and software engineering by embracing various highly interdisciplinary perspectives.