Many real-world problems are multi-objective optimization problems and evolutionary algorithms are quite successful on such problems. Since the task is to compute or approximate t...
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
systems are commonly abstracted as collections of interacting components. This perspective has lead to the insight that component behaviors can be defined separately from admissi...
Dynamical systems theory is used here as a theoretical language and tool to design a distributed control archictecture that generates navigation in formation, integrated with obst...
This paper explores the use of an outcome matrix as a computational representation of social interaction suitable for implementation on a robot. An outcome matrix expresses the re...