Cyber Security Within a Cognitive Architecture

Abstract

As with any electronic information processing system in today’s world of hackers, malware, spyware, etc., security is a major component of the overall operational capabilities of a SELF. All information within a SELF must be protected and kept from corruption (whether accidental or intentional). Accidental corruption of information and knowledge within a SELF is handled through continual cross-checking and self-assessment within the ACNF framework. Continuous communications between Cognitrons within the system and constant refresh of memory information keeps information from being arbitrarily modified (loss of bits) and from corruption due to memory failures and catastrophic interference problems discussed earlier. However, these do not protect the system from intentional corruptions and hackers. Since a SELF is intended to be a fully autonomous, self-evolving, self-learning, reasoning artificial entity, any corruption of information across a SELF’s artificial cognitive framework could have devastating effects on a SELF’s learning, reasoning, memory, and cognitive processes analoagously to what occurs in injured humans (e.g. head injury, Alzheimers). Corruption or incorrect modifications to a SELF’s needs, constraints, goals, memories, or algorithms could cause a SELF to act, evolve, remember, or learn, completely incorrectly and/or out of scope for the intentions of a SELF.