BehaviorSim: towards an educational tool for behavior-based agent

Authors:
Pavel Lakhtanau;Xiaolin Hu;Fasheng Qiu
Affiliations:
Georgia State University, Atlanta, GA;Georgia State University, Atlanta, GA;Georgia State University, Atlanta, GA
Venue:
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Year:
2007

Citing 4
Cited 1

A bottom-up mechanism for behavior selection in an artificial creature

Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
An Behavior-based Robotics

An Behavior-based Robotics
Theory of Modeling and Simulation

Theory of Modeling and Simulation
Pyro: A python-based versatile programming environment for teaching robotics

Journal on Educational Resources in Computing (JERIC)

BehaviorSim: A Learning Environment for Behavior-Based Agent

SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats

Quantified Score

Hi-index	0.00

Visualization

Abstract

A major paradigm of modeling the decision making of autonomous agents is through behavior-based network models. The network consists of distributed behaviors that compete (or cooperate) according to certain relations for governing the agent's behavior in a dynamic environment. This paper presents an effort to develop BehaviorSim that is an educational tool oriented to beginners and/or non-computer scientists to allow them to learn and play with the behavior-based paradigm without involving complex programming skills. The system design of BehaviorSim is presented, followed by a description of its major functions. An illustrative example of a crayfish agent is provided to demonstrate the functionality of this environment.