EFFECTS-BASED APPROACH TO OPERATIONS (EBAO) EXPERIMENTATION FOR VALIDATING HUMAN BEHAVIOR REPRESENTATION (HBR) IN SIMULATED ENVIRONMENTS

摘要

There are many challenges associated with the validation of Human Behavior Representation (HBR) agent based simulations. There are limited measurement methods for validating Agent Object perception within an Effects-Based Approach to Operations (EBAO). Also, within a simulated environment there is no clear understanding of surrogate HBR relationships with their behavioral representation. These remain as obstacles to advancing our knowledge and understanding of agent model validation. In many cases, the effects of agent object behavior may be likened to an "experimental frame" with some known potential for accomplishing a task. The effects of these tasks are not always measured beyond face validation. We may not fully understand how synthetic agents - or agents - represent human behavior but we do rely on the fact that they retain a potential for accomplishing specific tasks. An agent, in this sense, becomes less a matter of size or complexity, but one of 'viewpoint'. This viewpoint infers an agent-oriented approach to the conceptual modeling of HBR agent based simulation, thus implying an agent object relationship. A specific question remains: may human perception in the real world be represented and measured as a correlate to the same perception in an artificial world?