The Design of a Polymorphous Cognitive Agent Architecture (PCAA)
Mohammed Amduka, Jon Carmelo Russo, Krishna Nanda Jha, André M. DeHon, Richard Lethin, Jonathan Springer, Rajit Manohar, Rami Melhem, Bob Wray, Christian J. Lebiere · 2008
Lockheed Martin Advanced Technology Laboratories (LM-ATL) led a highly qualified and motivated team to research, develop, and validate the Polymorphous Cognitive Agent Architecture (PCAA) as part of DARPA's Architecture for Cognitive Information Processing (ACIP). Our team investigated essential "Cognitive Information Processing" aspects of the architecture ranging from pure cognitive research into the essentials of human level reasoning to computing infrastructures that are essential to be able to transition PCAA into application domains that have a crucial need for this technology. PCAA is a dynamic, adaptive cognitive architecture that makes previously intractable approximation tasks tractable for NP-hard cognitive problems. PCAA consists of: linear composable cognitive agents, a cognitive mark-up language for cognitive behavior definition, a cognitive layer for derivation of cognitive services and specialized cognitive agents, and a next generation polymorphic hardware and software layer for runtime composition and instantiation of cognitive agents.