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Complexity science aims to better understand the processes of both natural and man-made systems which are composed of many interacting entities at different scales. A disaggregated approach is proposed for simulating electricity systems, by using agent-based models coupled to continuous ones. The approach can help in acquiring a better understanding of the operation of the system itself, e.g. on emergent phenomena or scale effects; as well as in the improvement and design of future smart grids.

multi agent systems --- complexity --- smart grids --- emergence --- demand side management

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The complexity of technical systems increases, breakdowns occur quite often. The mission of organic computing is to tame these challenges by providing degrees of freedom for self-organised behaviour. To achieve these goals, new methods have to be developed. The proposed observer/controller architecture constitutes one way to achieve controlled self-organisation. To improve its design, multi-agent scenarios are investigated. Especially, learning using learning classifier systems is addressed.

organic computing --- multi-agent simulation --- controlled self-organisation --- observer/controller architecture --- extended learning classifier system

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The book presents a theoretical and technical background for applying MAS (Multi Agent Systems) in Architecture, Engineering and Construction. It focuses in the early design stage and makes use of domain specific data which relate to different design domains (structural, environmental, architectural design) to inform the agent behaviors. The proposed framework is applicable especially to design problems which traditionally require the close collaboration of engineers and architects.

Multiagent systems --- Complex Adaptive Systems. --- Computational Design. --- Form Finding. --- Generative Design. --- Multi Agent Systems.

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Intelligent agents (Computer software) --- Multiagent systems --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent

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Intelligent agents are software entities which can carry out some actions on behalf of clients with some degree of autonomy Through sensing the status of environment, agents perform some operations based on some possessed knowledge in order to change or influence the environment towards their goals A Multi Agent System (MAS) is a group or society of agents, and agents interact with others in the group cooperatively and or competitively in order to reach their individual or common goals In general, agents possess five common properties which are autonomy, adaptivity, reactivity, proactivity and sociability Research on agent techniques and MASs mainly focus on improving existing or invent innovative frameworks, models, mechanisms, approaches and algorithms to improve agents effectiveness and efficiency in those five aspects for advanced autonomous problem solving abilities in complex environments.

Multiagent systems --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent --- Intelligent agents (Computer software)