7 citations · 9 across the 6 of their papers we have counts for
7 papers
A Neural Model of Number Comparison with Surprisingly Robust Generalization
Thomas R. Shultz, Ardavan S. Nobandegani, Zilong Wang
We propose a relatively simple computational neural-network model of number comparison. Training on comparisons of the integers 1-9 enable the model to efficiently and accurately s…
Cognitive Models as Simulators: The Case of Moral Decision-Making
Ardavan S. Nobandegani, Thomas R. Shultz, Irina Rish
To achieve desirable performance, current AI systems often require huge amounts of training data. This is especially problematic in domains where collecting data is both expensive…
A Computational Model of Infant Learning and Reasoning with Probabilities
Thomas R Shultz, Ardavan S Nobandegani
Recent experiments reveal that 6- to 12-month-old infants can learn probabilities and reason with them. In this work, we present a novel computational system called Neural Probabil…
Bringing Order to the Cognitive Fallacy Zoo
Ardavan S. Nobandegani, William Campoli, Thomas R. Shultz
In the eyes of a rationalist like Descartes or Spinoza, human reasoning is flawless, marching toward uncovering ultimate truth. A few centuries later, however, culminating in the w…
A Rational Distributed Process-level Account of Independence Judgment
Ardavan S. Nobandegani, Ioannis N. Psaromiligkos
It is inconceivable how chaotic the world would look to humans, faced with innumerable decisions a day to be made under uncertainty, had they been lacking the capacity to distingui…
Over-representation of Extreme Events in Decision-Making: A Rational Metacognitive Account
Ardavan S. Nobandegani, Kevin da Silva Castanheira, A. Ross Otto +1
The Availability bias, manifested in the over-representation of extreme eventualities in decision-making, is a well-known cognitive bias, and is generally taken as evidence of huma…