Knowledge Management in the Companion Cognitive Architecture
This work tackles knowledge management issues for cognitive architecture developers, but it is incremental as it builds on existing concepts without introducing a new paradigm.
The paper addresses challenges in developing a scalable knowledge management scheme for the Companion cognitive architecture, proposing tools, representations, and practices to overcome them and outlining future steps for autonomous knowledge management.
One of the fundamental aspects of cognitive architectures is their ability to encode and manipulate knowledge. Without a consistent, well-designed, and scalable knowledge management scheme, an architecture will be unable to move past toy problems and tackle the broader problems of cognition. In this paper, we document some of the challenges we have faced in developing the knowledge stack for the Companion cognitive architecture and discuss the tools, representations, and practices we have developed to overcome them. We also lay out a series of potential next steps that will allow Companion agents to play a greater role in managing their own knowledge. It is our hope that these observations will prove useful to other cognitive architecture developers facing similar challenges.