Enhancing Tactical Information Assessment Using an Agent-Based Cognitive Architecture

The actualisation of an information-rich, expansive and complex battlespace have rendered current Tactical Information Assessment (TIA) within tactical systems as non-effective. Existing TIA techniques and algorithms perform limited cognitive processing because they lack fundamental characteristics of Situation Management (SM). In consequence, a dramatic reduction of situation awareness, information and decision superiority of the operators and the overall tactical system has emerged. Considerable attention in applying computational cognitive architectures and processing and SM within TIA has been gaining momentum. This paper discusses the Cognitive Architecture for Tactical Information Assessment (CATIA), a proposed Multi-Agent System (MAS)-based cognitive architecture. CATIA employs cognitive architecture design principles and the Belief, Desire and Intention (BDI) framework to facilitate recognition and reasoning to deliberate in tactical situations and events. CATIA will be implemented within the Future Integrated Mission System (FIMS) to illustrate how superior TIA methodologies can dramatically improve information assessment, situation awareness and information and decision superiority within tactical systems.