A modern implementation of a simplified version of the Blackboard Architecture is presented
herein. It uses a rule-fact-action network and a round-robin rule processing engine. It also …

A naïve solver is one approach that can be used to identify prospective solutions based on
data on (or projected to be on) a Blackboard Architecture's blackboard. The naïve solver …

Cybersecurity is an ever-changing landscape. The threats of the future are hard to predict
and even harder to prepare for. This paper presents work designed to prepare for the …

The Blackboard Architecture provides a mechanism for embodying data, decision making
and actuation. Its versatility has been demonstrated across a wide number of application …

This article presents an approach for decision-making in support of the control of an
autonomous system of multiple tiers of robots (eg, satellite, aerial and ground) based on the …

The goal of this research is to improve methods for extracting and interpreting tabular data
embedded in printed documents. In pursuing this goal, this dissertation makes two main …

A variety of forms of artificial intelligence systems have been developed. Two well-known
techniques are neural networks and rule-fact expert systems. The former can be trained from …

This paper presents and evaluates work on the development of an artificial intelligence (AI)
anti-bullying system. The system is designed to identify coordinated bullying attacks via …

The blackboard architecture has particular utility in applications where conclusions must be
drawn in the absence of human involvement. Through properly crafted rules, this approach …

An extensive body of work exists related to robots conducting search operations of an
operating region. Penetration testing can be presented as a region-constrained search for …