SCS Undergraduate Thesis Topics
|Thuc Vu||Manuela Veloso||Behavior Programming Language and Automated Code Generation for Agent Behavior Control|
Behavior-based agents are becoming increasingly used across a variety of platforms. The common approach to building such agents involves implementing the behavior synchronization and management algorithms directly in the agent.s programming environment. This process makes it hard, if not impossible, to share common components of a behavior architecture across different agent implementations. This lack of reuse also makes it cumbersome to experiment with different behavior architectures as it forces users to manipulate native code directly, e.g. C++ or Java. The goal of the project is to provide a high-level behavior-centric programming language and an automated code generation system which together overcome these issues and facilitate the process of implementing and experimenting with different behavior architectures. The language is specifically designed to allow clear and precise descriptions of a behavior hierarchy, and can be automatically translated by our generator into C++ code. Once compiled, this C++ code yields an executable that directs the execution of behaviors in the agent.s sense-plan-act cycle. We have tested this process with different platforms, including both software and robot agents, with various behavior architectures. We experienced the advantages of defining an agent by directly reasoning at the behavior architecture level followed by the automatic native code generation.