36 citations · 43 across the 11 of their papers we have counts for
11 papers
Communicate-Predict-Act: Evaluating Social Intelligence of Agents
David Shoresh, Sarit Kraus, Yonatan Loewenstein
As large language model (LLM) agents become more prevalent in real world social settings, social intelligence will play an increasingly critical role. But social intelligence is st…
Subject Matter Expertise vs Professional Management in Collective Sequential Decision Making
David Shoresh, Yonatan Loewenstein
Your company's CEO is retiring. You search for a successor. You can promote an employee from the company familiar with the company's operations, or recruit an external professional…
Is there Value in Reinforcement Learning?
Lior Fox, Yonatan Loewenstein
Action-values play a central role in popular Reinforcement Learing (RL) models of behavior. Yet, the idea that action-values are explicitly represented has been extensively debated…
Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making
David Shoresh, Yonatan Loewenstein
The field of collective intelligence studies how teams can achieve better results than any of the team members alone. The special case of human-machine teams carries unique challen…
Two pathways to resolve relational inconsistencies
Tomer Barak, Yonatan Loewenstein
When individuals encounter observations that violate their expectations, when will they adjust their expectations and when will they maintain them despite these observations? For e…
Untrained neural networks can demonstrate memorization-independent abstract reasoning
Tomer Barak, Yonatan Loewenstein
The nature of abstract reasoning is a matter of debate. Modern artificial neural network (ANN) models, like large language models, demonstrate impressive success when tested on abs…
Zero-Episode Few-Shot Contrastive Predictive Coding: Solving intelligence tests without prior training
T. Barak, Y. Loewenstein
Video prediction models often combine three components: an encoder from pixel space to a small latent space, a latent space prediction model, and a generative model back to pixel s…
Naive Few-Shot Learning: Uncovering the fluid intelligence of machines
Tomer Barak, Yonatan Loewenstein
In this paper, we aimed to help bridge the gap between human fluid intelligence - the ability to solve novel tasks without prior training - and the performance of deep neural netwo…
Naive Artificial Intelligence
Tomer Barak, Yehonatan Avidan, Yonatan Loewenstein
In the cognitive sciences, it is common to distinguish between crystal intelligence, the ability to utilize knowledge acquired through past learning or experience and fluid intelli…
DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Leshem Choshen, Lior Fox, Yonatan Loewenstein
Exploration is a fundamental aspect of Reinforcement Learning, typically implemented using stochastic action-selection. Exploration, however, can be more efficient if directed towa…
Idiosyncratic choice bias in decision tasks naturally emerges from neuronal network dynamics
Lior Lebovich, Ran Darshan, Yoni Lavi +2
Idiosyncratic tendency to choose one alternative over others in the absence of an identified reason, is a common observation in two-alternative forced-choice experiments. It is tem…