Human-Computer Interfaces for Tactical Decision Making, Analysis, and Assessment Using Artificially Intelligent Platforms. Volume 1. Software Design and Database Descriptions for BATMAN and ROBIN.

摘要

This technical note contains the introduction, artificial intelligence techniques, software design, and database descriptions for the Battle-Management Assessment System and Raid Originator Bogie Ingress (BATMAN ROBIN). These software systems are being developed to assess how well individuals can allocate, deploy, and manage air, surface, and/or subsurface tactical assets during simulated sea battles in many warfare areas. Together they form a desk-top, computer-based, performance-measurement system incorporating high resolution graphics, low level modelling, artificial intelligence techniques, to fill the gap between board games that are run in real or fictitious time with subjective assessment and inappropriate feedback and very expensive and manhour-intensive, mainframe-based simulators. Because of the nature of their generic software and independent databases, as well as the potential for incorporating different computer models, BATMAN ROBIN can be used for a variety of functions: (a) training and testing tactical knowledge, (b) planning and decision aiding for tactical situations, (c) developing and evaluating tactics themselves, (d) analyzing and evaluating various tactical sensor, weapon, and communication systems, (e) frontending sophisticated tactical computer models and complex databases, (f) interfacing tactical artificial intelligent and expert systems, (g) generating rapidly scenarios for tactical trainers, (h) prototyping complicated scenarios for major wargaming systems, (i) orienting novices to facets of naval warfare, (j) evaluating tactical display symbologies and formats and (k) providing an experimental environment for studying tactical decision making.