Agent oriented software engineering (AOSE) proposes the design of distributed software systems as collections of autonomous and pro-active actors, so-called agents. Since software applications results from agent interplay in multi-agent systems (MASs), this design approach facilitates the construction of software applications that exhibit self-organizing and emergent dynamics. In this chapter, ...

In some circumstances complex adaptive systems composed of numerous self-interested agents can self-organize into structures that enhance global adaptation, efficiency, or function. However, the general conditions for such an outcome are poorly understood and present a fundamental open question for domains as varied as ecology, sociology, economics, organismic biology, and technological infrast...

Global economy is driving manufacturing companies into a paradigm revolution. Highly customizable products at lower prices and with higher quality are among the most imposed influence factors. To respond properly to these external and internal constraints, such as work absence and machine failures, companies must be in a constant adaptation phase. Several manufacturing control architectures hav...

The giant single-celled slime mould Physarum polycephalum exhibits complex morphological adaptation and amoeboid movement as it forages for food and may be seen as a minimal example of complex robotic behaviour. Swarm computation has previously been used to explore how spatio-temporal complexity can emerge from, and be distributed within, simple component parts and their interactions. Using a p...

In this contribution, we propose an adaptationdriven methodology for the technical design and implementation of multi-agent simulations that is inspired by the concept of “living design”. The simulated agents are capable of evaluating their behavior and self-adapt for improving the overall model. For this aim, the modeler describes critical, non valid situations in the life of an agent, or the ...