Inon Zuckerman - Academia.edu (original) (raw)

Papers by Inon Zuckerman

To date, a variety of automated negotiation agents have been created. While each of these agents ... more To date, a variety of automated negotiation agents have been created. While each of these agents has been shown to be effective in negotiating with people in specific environments, they lack natural language processing (NLP) methods required to enable real-world types of interactions. In this paper we study how existing agents must be modified to address this limitation. After performing an extensive study of agents' negotiation with human subjects, we found that simply modifying existing agents to include an NLP module is insufficient to create these agents. Instead the agents' strategies must be modified to address partial agreements and issue-by-issue interactions.

Sensors, Aug 30, 2022

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

Information, Feb 23, 2023

Springer eBooks, Aug 31, 2022

Journal of risk and financial management, Feb 6, 2023

PLOS ONE

In this paper we present a method to examine the synchrony between brains without the need to car... more In this paper we present a method to examine the synchrony between brains without the need to carry out simultaneous recordings of EEG signals from two people which is the essence of hyper-scanning studies. We used anonymous random walks to spatially encode the entire graph structure without relying on data at the level of individual nodes. Anonymous random walks enabled us to encapsulate the structure of a graph regardless of the specific node labels. That is, random walks that visited different nodes in the same sequence resulted in the same anonymous walk encoding. We have analyzed the EEG data offline and matched each possible pair of players from the entire pool of players that performed a series of tacit coordination games. Specifically, we compared between two network patterns associated with each possible pair of players. By using classification performed on the spatial distance between each pair of individual brain patterns, analyzed by the random walk algorithm, we tried t...

Sensors, 2022

Previously, it was shown that some people are better coordinators than others; however, the relat... more Previously, it was shown that some people are better coordinators than others; however, the relative weight of intuitive (system 1) versus deliberate (system 2) modes of thinking in tacit coordination tasks is still not resolved. To address this question, we have extracted an electrophysiological index, the theta-beta ratio (TBR), from the Electroencephalography (EEG) recorded from participants while they were engaged in a semantic coordination task. Results have shown that individual coordination ability, game difficulty and response time are each positively correlated with cognitive load. These results suggest that better coordinators rely more on complex thought process and on more deliberate thinking while coordinating. The model we have presented may be used for the assessment of the depth of reasoning individuals engage in when facing different tasks requiring different degrees of allocation of resources. The findings as well as future research directions are discussed.

Brain Informatics, 2021

Тема овог рада је анализа културноисторијских аспеката и симболике 'зелене' боје у фразеологизмим... more Тема овог рада је анализа културноисторијских аспеката и симболике 'зелене' боје у фразеологизмима немачког, енглеског и српског језика. Предмет истраживања су све оне свезе речи које се могу класификовати као фразеологизми, а које као структурну компоненту садрже 'зелену' боју. Користећи контрастивну анализу, рад има за циљ да истражи симболичка значења 'зелене' боје у наведеним језицима. Циљ рада је утврђивање семантичких поља ових лексема и истраживање њихове етимологије, односно мотивисаности значења.

Brain Informatics, 2022

Background Previous experiments in tacit coordination games hinted that some people are more succ... more Background Previous experiments in tacit coordination games hinted that some people are more successful in achieving coordination than others, although the variability in this ability has not yet been examined before. With that in mind, the overarching aim of our study is to model and describe the variability in human decision-making behavior in the context of tacit coordination games. Methods In this study, we conducted a large-scale experiment to collect behavioral data, characterized the distribution of tacit coordination ability, and modeled the decision-making behavior of players. First, we measured the multimodality in the data and described it by using a Gaussian mixture model. Then, using multivariate linear regression and dimensionality reduction (PCA), we have constructed a model linking between individual strategic profiles of players and their coordination ability. Finally, we validated the predictive performance of the model by using external validation. Results We demo...

Sensors, 2021

Tacit coordination games are games in which communication between the players is not allowed or n... more Tacit coordination games are games in which communication between the players is not allowed or not possible. In these games, the more salient solutions, that are often perceived as more prominent, are referred to as focal points. The level-k model states that players’ decisions in tacit coordination games are a consequence of applying different decision rules at different depths of reasoning (level-k). A player at Lk=0 will randomly pick a solution, whereas a Lk≥1 player will apply their strategy based on their beliefs regarding the actions of the other players. The goal of this study was to examine, for the first time, the neural correlates of different reasoning levels in tacit coordination games. To that end, we have designed a combined behavioral-electrophysiological study with 3 different conditions, each resembling a different depth reasoning state: (1) resting state, (2) picking, and (3) coordination. By utilizing transfer learning and deep learning, we were able to achieve ...

Information Systems and Neuroscience, 2021

Brain Informatics, 2020

Previous Experiments in the field of human behavior and game theory has shown that loss aversion ... more Previous Experiments in the field of human behavior and game theory has shown that loss aversion has a major effect on players’ decisions in coordination problems. The overarching aim of our study was to model the effect of loss aversion on individual player behavior in divergent interest tacit coordination games. Based on a large-scale behavioral data we have designed a model predicting the total number of points players allocate to themselves as a result of increased penalty values in cases of non-coordination. Understanding the effect of loss aversion in case of divergent interest coordination problems on players’ behavior will allow us to better predict the human decision-making process and as a result, create more realistic algorithms for human-machine cooperation’s. Understanding the effect of loss aversion in the context of divergent interest tacit coordination games may enable the construction of better algorithms for human-machine interaction that could more accurately predict human decision behavior under uncertainty.

Journal of Experimental & Theoretical Artificial Intelligence, 2020

In tacit coordination games people manage to converge on prominent solutions, which are known as ... more In tacit coordination games people manage to converge on prominent solutions, which are known as focal points. There is still no accepted explanation of how players manage to converge on the same solution. It could be that the limited explanatory power arises from the fact that existing theories rely on pure strategies to describe behaviour. The aim of the current study is to construct a cognitive model that more accurately describes human behaviour in tacit coordination games. To this end we constructed individual strategic profiles that take into account the subjective preferences of individual players regarding the prominent selection rules. Subsequently, the individual profiles were clustered to gain insights regarding different types of coordinators. By using machine learning and statistical methods we were able to demonstrate, for the first time, the relationship between different types of strategic profiles and coordination ability. The results of this study demonstrate the importance of constructing a descriptive behavioural model that may potentially improve prediction of human decision-making in the context of humanmachine interaction.

Algorithms, 2022

Tacit coordination games are games where players are trying to select the same solution without a... more Tacit coordination games are games where players are trying to select the same solution without any communication between them. Various theories have attempted to predict behavior in tacit coordination games. Until now, research combining tacit coordination games with electrophysiological measures was mainly based on spectral analysis. In contrast, EEG coherence enables the examination of functional and morphological connections between brain regions. Hence, we aimed to differentiate between different cognitive conditions using coherence patterns. Specifically, we have designed a method that predicts the class label of coherence graph patterns extracted out of multi-channel EEG epochs taken from three conditions: a no-task condition and two cognitive tasks, picking and coordination. The classification process was based on a coherence graph extracted out of the EEG record. To assign each graph into its appropriate label, we have constructed a hierarchical classifier. First, we have d...

Journal of Experimental & Theoretical Artificial Intelligence

Sensors

In recent years collaborative robots have become major market drivers in industry 5.0, which aims... more In recent years collaborative robots have become major market drivers in industry 5.0, which aims to incorporate them alongside humans in a wide array of settings ranging from welding to rehabilitation. Improving human–machine collaboration entails using computational algorithms that will save processing as well as communication cost. In this study we have constructed an agent that can choose when to cooperate using an optimal strategy. The agent was designed to operate in the context of divergent interest tacit coordination games in which communication between the players is not possible and the payoff is not symmetric. The agent’s model was based on a behavioral model that can predict the probability of a player converging on prominent solutions with salient features (e.g., focal points) based on the player’s Social Value Orientation (SVO) and the specific game features. The SVO theory pertains to the preferences of decision makers when allocating joint resources between themselve...

Information Systems and Neuroscience