Advancements in the Practical Applications of Agents, Multi-Agent Systems and Simulating Complex Systems

• Other Authors: Mathieu, Philippe (Editor), Corchado, Juan M. (Editor), González-Briones, Alfonso (Editor), De la Prieta, Fernando (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Information technology industries; Computer science; disinformation; social networks; bots; model; online public opinion; group polarization; influencing factors; power relations; eco-conservation; high-quality development; agent-based model (ABM); composite system; balanced indicators; modeling and simulation; practical formal method; multi-resolution; discrete event system specification; consensus groups; agent-based model; web of beliefs; composite e-commerce platform; dual differentiated; product innovation; product encroachment; multi-agent simulation; agile development; earned value management; task board; agent-based simulation; accounting framework; agent; automotive; electro-mobility; financial statement; simulation; stock flow consistency; system dynamics; deep reinforcement learning; lane-free traffic; autonomous driving; internet of things (IoT); open multiagent systems; smart grid; engineering multiagent systems (EMASs); digital twin; Cartesian genetic programming; multi-agent system; COHDA; distributed optimization; CMA-ES; agent coordination; multi-agent reinforcement learning; centralized learning decentralized execution; blockchain; software; infrastructure; costs; benefits; evaluation; multi-agent systems; distributed machine learning; hyperparameter tuning; agent-based optimization; random search; path allocation; fairness; constraint optimization; satellite constellation; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

The relationship between individuality and aggregation is an important topic in Complex Systems Science, as both aspects are facets of emergence. This problem has generally been addressed by adopting a classical individual- versus population-level approach, in which boundaries emerge in segregated communities. More specifically, boundaries delimiting and interconnecting aggregates are at play. It is, therefore, crucial to define the properties of complex systems correctly, such as generic agent-based models, with which to simulate communities situated in grid- and scale-free network environments. To do this, complexities may be resolved through simulation, modeling and analysis techniques, which help provide confidence regarding the behavior of such systems, especially of those operating in dynamic environments or under unexpected constraints. Moreover, modeling and simulation help reduce the risks and costs involved in the design and development of validation tests.