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An Inexpensive Design of Agent’s Behavior During a "Picking Task" in a Simulated 2-D Virtual Game-Like Environment

Agent’s autonomous and intelligent behavior represents an important topic in the field of Artificial Intelligence. One could even say that it is the core part of the AI field. There are different real-world and simulation scenarios that can be used for exploring of agent’s capabilities. In recent years, computer games, virtual game-like environments, and virtual worlds in general, established themselves not only as an important part of consumer electronics, but also as an excellent testbed for developing of different kinds of agents. At the same time, development of agent technology significantly enhances these virtual environments. In this paper, we will demonstrate how a computationally inexpensive design of agent’s behavior during the "picking task" scenario in such virtual environment, can lead to a satisfying performance.