Paper Info
Title
Acquiring visibly intelligent behavior with example-guided neuroevolution
Abstract
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating autonomous agents to operate in the rich environments of modern videogames and computer simulations, it becomes important to devise agent behaviors that display the visible attributes of intelligence, rather than simply performing optimally. Such visibly intelligent behavior is difficult to specify with rules or characterize in terms of quantifiable objective functions, but it is possible to utilize human intuitions to directly guide a learning system toward the desired sorts of behavior. Policy induction from human-generated examples is a promising approach to training such agents. In this paper, such a method is developed and tested using Lamarckian neuroevolution. Artificial neural networks are evolved to control autonomous agents in a strategy game. The evolution is guided by human-generated examples of play, and the system effectively learns the policies that were used by the player to generate the examples. I.e., the agents learn visibly intelligent behavior. In the future, such methods are likely to play a central rule in creating autonomous agents for complex environments, making it possible to generate rich behaviors derived from nothing more formal than the intuitively generated example, of designers, players, or subject-matter experts.
Year
Venue
Keywords
2007
AAAI
autonomous agent,intelligent behavior,human-generated example,agent behavior,rich behavior,artificial intelligence research,artificial neural network,rich environment,Lamarckian neuroevolution,central rule,example-guided neuroevolution
Field
DocType
Citations 
Intelligent agent,Autonomous agent,Computer science,Intuition,Artificial intelligence,Artificial neural network,Neuroevolution,Machine learning
Conference
14
PageRank 
References 
Authors
1.13
11
2
Name
Order
Citations
PageRank
Bobby D. Bryant1586.70
Risto Miikkulainen22981224.85