There is still plenty of research going on on agents, symbolic AI, and other approaches that sometimes and somewhat reflect (or have informed) ideas from Societ

There is still plenty of research going on on agents, symbolic AI, and other approaches that sometimes and somewhat reflect (or have informed) ideas from Society of Mind. Some of the ideas are relevant from an application perspective (for sure, we have complex socio-technical systems where different 'agents' interact), others make it into learning, for example into RL, which was hyped some years go. Other ideas feel old-fashioned and stuck in the past; this is, in my opinion, not necessarily because the ideas are generally bad, but often because some of the sub-communities move very slowly and struggle to embrace a pragmatic approach to modern applied research. Generally, I think it's good to maintain 'old' knowledge, and the only way to do so in a sustainable manner is to maintain a diversity of research directions, where plenty of researchers are committed to keep the lights on by slowly advancing directions that are not on top of the hype cycle at the moment.