Companion Cognitive Systems: A Step towards Human-Level AI

We are developing Companion Cognitive Systems, a new kind of software that can be effectively treated as a collaborator. Aside from their potential utility, we believe this effort is important because it focuses on three key problems that must be solved to achieve human-level AI: Robust reasoning and learning, performance and longevity, and interactivity. We describe the ideas we are using to develop the first architecture for Companions: Analogical processing, grounded in cognitive science for reasoning and learning, a distributed agent architecture hosted on a cluster to achieve performance and longevity, and sketching and concept maps to provide interactivity.

• Type: Journal
• Year: 2006
• Where: AIM
• Authors: Kenneth D. Forbus, Thomas R. Hinrichs
• Keywords: AIM 2006, Companion Cognitive Systems, Key Problems, Potential Utility, Software Engineering