Collective emergent behaviours are commonly seen in nature such as in flocks of birds and
schools of fish. These behaviours are the results of years of evolution and have been …

Resilience in autonomous agent systems is about having the capacity to anticipate, respond
to, adapt to, and recover from adverse and dynamic conditions in complex environments. It is …

This paper presents a grammar-based evolutionary approach that facilitates autonomous
discovery of abstractions to learn complex collective behaviours through manageable sub …

With the rise of new technologies, such as Edge computing, Internet of Things, Smart Cities,
and Smart Grids, there is a growing need for multi-agent systems (MAS) approaches …

The schooling behavior of fish can be studied through simulations involving a large number
of interacting particles. In such systems, each individual particle is guided by behavior rules …

This paper presents a novel competitive collaboration-based reinforcement learning strategy
to improve the performance of goal-oriented autonomous agent systems. Competitive …