activity
20172023
most citedMultilevel evolutionary developmental optimization (MEDO): A theoretical framework for understanding preferences and selection dynamics

9 citations · 28 across the 7 of their papers we have counts for

collaborators

7 papers

q-bio.NC2023★ 5 cited

The inner screen model of consciousness: applying the free energy principle directly to the study of conscious experience

Maxwell J. D. Ramstead, Mahault Albarracin, Alex Kiefer +4

This paper presents a model of consciousness that follows directly from the free-energy principle (FEP). We first rehearse the classical and quantum formulations of the FEP. In par…

cs.LG2021

Dream to Explore: Adaptive Simulations for Autonomous Systems

Zahra Sheikhbahaee, Dongshu Luo, Blake VanBerlo +3

One's ability to learn a generative model of the world without supervision depends on the extent to which one can construct abstract knowledge representations that generalize acros…

q-bio.NC2019★ 9 cited

Multilevel evolutionary developmental optimization (MEDO): A theoretical framework for understanding preferences and selection dynamics

Adam Safron

What is motivation and how does it work? Where do goals come from and how do they vary within and between species and individuals? Why do we prefer some things over others? MEDO is…

q-bio.NC2019★ 2 cited

Rapid Anxiety Reduction (RAR): A unified theory of humor

Adam Safron

Here I propose a novel theory in which humor is the feeling of Rapid Anxiety Reduction (RAR). According to RAR, humor can be expressed in a simple formula: -d(A)/dt. RAR has strong…

q-bio.NC2019★ 9 cited

Bayesian Analogical Cybernetics

Adam Safron

It has been argued that all of cognition can be understood in terms of Bayesian inference. It has also been argued that analogy is the core of cognition. Here I will propose that t…

cs.AI2018

Integrative Biological Simulation, Neuropsychology, and AI Safety

Gopal P. Sarma, Adam Safron, Nick J. Hay

We describe a biologically-inspired research agenda with parallel tracks aimed at AI and AI safety. The bottom-up component consists of building a sequence of biophysically realist…

cs.AI2017★ 3 cited

AI Safety and Reproducibility: Establishing Robust Foundations for the Neuropsychology of Human Values

Gopal P. Sarma, Nick J. Hay, Adam Safron

We propose the creation of a systematic effort to identify and replicate key findings in neuropsychology and allied fields related to understanding human values. Our aim is to ensu…