Roadmap for NARS: Intelligence, Adaptation, and Evolutionary Computation
This document outlines the roadmap for NARS (Non-Axiomatic Reasoning System) as introduced by Pei Wang at Temple University in August 2019. It discusses the foundational concepts of NARS, which integrates reasoning systems designed to function under conditions of limited knowledge and resources. Key topics include formal language (Narsese), logic (NAL), resource management, mental operators, and applications in robotics and cloud implementation. The roadmap further explores the implications for society, ethics, cooperation, competition, and the relationship between NARS and human society, emphasizing the evolutionary aspects of intelligence.
Roadmap for NARS: Intelligence, Adaptation, and Evolutionary Computation
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Presentation Transcript
The Roadmap of NARS Pei Wang Temple University August 2019
The Starting Point • Intelligence is the principle of adaptation with insufficient knowledge and resources • NARS is designed by incrementally extending a reasoning system • The roadmap presented in the 2006 AGI Workshop: From NARS to a thinking machine
NARS per se • Formal language (Narsese) and logic (NAL): testing • Resource management: tuning and theorizing • Finalizing the mental operators • Native sensorimotor and NLP • Local axiomatic (mathematical) reasoning
NARS+ • NARS with knowledge sources • Memory/experience databases • NARS with software tools • “NARS inside” robots • Distributed/cloud implementation • Hardware/firmware implementation
NARS and the others • Implanting vs. acquiring • Communication conventions • Education guideline • Moral, ethical, and legal regulations
A Society of NARS • Cooperation and competition • Social structure and customs • Sociology of AGI • A community as a whole: goals, abilities, and beliefs • Relation with human society
A Species of NARS • Reproduction via evolutionary computation, with personality parameters as DNA • Combining forms of adaptation: intelligence and evolution • Relation with the human species