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This paper presents an ongoing collaboration to develop a perceptual anchoring framework which creates and maintains the symbol-percept links concerning household objects. The paper presents an approach to non-trivialize the symbol system using ontologies and allow for HRI via enabling queries about objects properties, their affordances, and their perceptual characteristics as viewed from the robot (e.g. last seen). This position paper describes in brief the objective of creating a long term perceptual anchoring framework for HRI and outlines the preliminary work done this far.

This document presents Functional Area Representation Objectives (FAROs) for Army maneuver control, intelligence and electronic warfare, fire support, air defense, combat service support, and force command and control. These FAROs were developed in support of the Army Model Improvement Program (AMIP), specifically to serve as a basis for developing the design objectives for a Corps/Division Evaluation Model (CORDIVEM). Besides the detailed FAROs, this report includes the methodology used in deriving the representations, the definitions of the functional areas, and a quick reference outline of each functional area. (Author)

This paper describes a project whose objective is to demonstrate the feasibility of utilizing expert system technology to support the military intelligence processes on the modern battlefield. The project consists of a software system that fuses sensor and environment data with a priori knowledge of the enemy and applies expertise concerning critical indicators of enemy intentions to observed enemy behavior. The system is to produce transient situation displays and to satisfy the commander's battlefield information requirements. The work is relevant to the design of the second generation All Source Analysis System for the Army and the Air Force's Enemy Situation/Correlation Element. The project draws on Artificial Intelligence techniques that have been used to successfully model human expertise in a variety of areas. A rule-based architecture with highly structure knowledge and data representations is developed. It will automatically correlate and integrate reports from different kinds of intelligence sources, respond to intelligence requests such as the commander's Primary Information Requirements and other Information Requirements, keep requesting agencies appraised of changes in the perception of the battlefield, and justify its actions and answers. (Author), This article is from 'Proceedings of the Army Conference on Application of Artificial Intelligence to Battlefield Information Management Held at White Oak, Maryland on April 20, 21, and 22, 1983,' AD-A139 685, p101-116.

Changes were made to the maneuver control portions in response to written comments received from the US Army Aviation Center (USAAVNC) at Ft. Rucker, Alabama, detailing inconsistencies among the aviation element representations. The representations were altered to respect the baseline used for the rest of the functional area representation objectives; changes can be found in both the combat and combat support subfunctional areas of maneuver control. The air defense portion was altered to include mention of the air mobility of some air defense units, also at the request of the USAAVNC. Changes were made to the combat service support portion in response to USAAVNC comments and the results of MITRE's research into this area, chiefly the draft report Command Control Subordinate System Functional Analysis: Combat Service Support Functional Segment. These changes affected the organization of the COSCOM and the DISCOM, specifically in the areas of missile maintenance, aircraft maintenance, and helicopter transportation. In response to concerns expressed by personnel from the Soldier Support Center, non-combat casualties were added to the discussion of medical care. (Author), Revision 1 to report dated Oct 82, AD-A122 179.