Application of parallel scenario description for RoboCupRescue civilian agent

Abstract

We propose a novel agent framework to describe behaviors of the general public in rescue simulations and implement an application for "Risk-Communication for disaster rescur". Conventional agent description languages are designed to model intellectual behaviors of human that solve a task to achieve a single goal. In a disaster situation, however, it is difficult to model civilians' behaviors such as goal-oriented problem-solving. Instead of such a formalization, we introduce the "Parallel Scenario Description" approach that models agents' behavior as an action pattern or plan of situations.We call these "Scenarios". In the proposed framework, behaviors are divided into multiple scenarios for each goal by Posit and Posit operator, in which behavior rules are grouped based on situations where the rules are active. The problem solver PS2 constructs a rule-set of behavior dynamically according to the situation of the environment and the agent's state. The framework is implemented as civilian agents for RoboCupRescue Simulation to adapt to a general civilian simulation. Moreover, we implemented refuge simulation for disaster rescue simulations to realize "Risk-Communication".