Transition System

Transition systems are mathematical models representing the evolution of a system through a series of states, driven by transitions triggered by events or actions. Current research focuses on applying transition systems to diverse areas, including analyzing multi-agent systems, modeling neural network dynamics, and improving the efficiency of search algorithms like Greedy Best-First Search. This framework enhances model interpretability, facilitates verification of complex systems, and enables the development of more efficient and robust algorithms across various domains, from robotics to natural language processing. The broad applicability of transition systems makes them a powerful tool for understanding and manipulating dynamic processes in numerous scientific and engineering fields.