Building believable agents for simulation environments: Extended Abstract


Milind Tambe, R. M. Jones, J. E. Laird, P. S. Rosenbloom, and K. Schwamb. 1994. “ Building believable agents for simulation environments: Extended Abstract.” In AAAI Spring Symposium on 'Believable Agents'.


The goal of our research effort is to develop generic technology for intelligent automated agents in simulation environments. These agents are to behave believably like humans in these environments. In this context, believability refers to the indistinguishability of these agents from humans, given the task being performed, its scope, and the allowable mode(s) of interaction during task performance. For instance, for a given simulation task, one allowable mode of interaction with an agent may be typewritten questions and answers on a limited subject matter. Alternatively, a different allowable mode of interaction for the same (or different) task may be speech rather than typewritten words. In all these cases, believability implies that the agent must be indistinguishable from a human, given the particular mode of interaction.
See also: 1994