Agents in the Long Game of AI: Computational Cognitive Modeling for Trustworthy, Hybrid AI by Marjorie McShane, Sergei Nirenburg, and Jesse English.
Marjorie McShane is a cognitive scientist and computational linguist known for her work on cognitively inspired, trustworthy AI systems that can collaborate with humans in natural language. She is a professor in the Cognitive Science Department at Rensselaer Polytechnic Institute (RPI) and co-directs the Language-Endowed Intelligent Agents (LEIA) Lab.
Sergei holds a PhD in Linguistics from the Hebrew University of Jerusalem and an M.Sc. in Computational Linguistics from Kharkov State University. Jesse holds a PhD in computer science, with a focus on language understanding from Rensselaer Polytechnic Institute. He is a senior researcher in the LEIA Lab, leading the development of content-centric intelligent agent architecture.
Together they work in related areas: knowledge-rich natural language processing, cognitive architectures, and language-endowed intelligent agents,
AI has relied traditionally on machine learning. The position by the authors is that for over thirty years machine learning development, it is not an all-purpose solution to building human-like intelligent systems. One hope for overcoming this limitation is hybrid AI: that is, AI that combines ML with knowledge-based processing.