Since the early 19th century, technological innovators and theorists have proposed insects as templates for a wide range of technologies. This text explains how insect forms of social organization - swarms, hives, webs and distributed intelligence - have been used to structure m…
Viele Anleger stellen sich vor ihren Investments die Frage: Selber machen oder einen Profi ranlassen? Doch warum Vermögensverwalter für etwas bezahlen, das die Internet-Gemeinde besser kann? Denn das>>Mitmach- Web<<hat die Finanzbranche erreicht und ist dabei, zusätzliche Altern…
Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation, complements extensive literatu…
Honeybees make decisions collectively--and democratically. Every year, faced with the life-or-death problem of choosing and traveling to a new home, honeybees stake everything on a process that includes collective fact-finding, vigorous debate, and consensus building. In fact, a…
Honeybees make decisions collectively--and democratically. Every year, faced with the life-or-death problem of choosing and traveling to a new home, honeybees stake everything on a process that includes collective fact-finding, vigorous debate, and consensus building. In fact, a…
"Honeybees make decisions collectively---and democratically. Every year, faced with the life-or-death problem of choosing and traveling to a new home, honeybees stake everything on a process that includes collective fact-finding, vigorous debate, and consensus building. In fact,…
Multi-Agent Machine Learning
"Multi-Agent Machine Learning: A Reinforcement Learning Approach is a framework to understanding different methods and approaches in multi-agent machine learning. It also provides cohesive coverage of the latest advances in multi-agent differential games and presents application…