Sarit Krau
Biographic Data
| ID | 3925404 |
|---|---|
| NAME | Sarit Krau |
| GIVEN NAMES | Sarit |
| FAMILY NAME | Krau |
| SIGNATURE | KRAU S |
| AFFILIATIONS | Bar-Ilan University |
| ORCID | 0000-0003-4672-623X |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1998 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 3 |
Linking Terrorist Network Structure to Lethality: Algorithms and Analysis of Al Qaeda and Isis
Without measures of the lethality of terrorist networks, it is very difficult to assess if capturing or killing a terrorist is effective. We present the predictive lethality analysis of terrorist organization () algorithm, which merges machine learning with techniques from graph theory and social network analysis to predict the number of attacks that a terrorist network will carry out based on a network structure alone. We show that is highly acc…
Pie: A Data-Driven Payoff Inference Engine for Strategic Security Applications
Although most game theory models assume that payoff matrices are provided as input, getting payoff matrices in strategic games (e.g., corporate negotiations and counter-terrorism operations) has proven difficult. To tackle this challenge, we propose a payoff inference engine (PIE) that finds payoffs assuming that players in a game follow a myopic best response or a regret minimization heuristic. This assumption yields a set of constraints (possib…
WhatsApp usage patterns and prediction of demographic characteristics without access to message content
Social networks on the Internet have become ubiquitous applications that allow people to easily share text, pictures, and audio and video ï¬ les. Popular networks include WhatsApp, Facebook, Reddit, and LinkedIn
Sami: An algorithm for solving the missing node problem using structure and attribute information
Cultural contingencies of mediation: Effectiveness of mediator styles in intercultural disputes
The difficulties of intercultural negotiations are well established, yet few studies have examined the factors that facilitate the successful resolution of these disputes. This research took a dynamic approach and examined the types of mediation tactics that are most effective in intercultural disputes given specific disputant characteristics. One hundred and ten participants from the United States and Turkey negotiated a community‐based dispute …
Combining psychological models with machine learning to better predict people’s decisions
Postulates for revising BDI structures
Optimal collective dichotomous choice under partial order constraints
The Impact of Cognitive Diversity on Crisis Negotiations
This paper reports on a series of experiments designed to assess the impact of grouping decision makers by level of cognitive complexity on the outcomes they attain in crisis negotiations. The participants—University of Maryland undergraduates who took roles in a simulated international hostage crisis—used a computer decision support system and a controlled network environment for communications. The goal of the experiments was to better understa…
WhatsApp usage patterns and prediction of demographic characteristics without access to message content
Social networks on the Internet have become ubiquitous applications that allow people to easily share text, pictures, and audio and video ï¬ les. Popular networks include WhatsApp, Facebook, Reddit, and LinkedIn
Cultural contingencies of mediation: Effectiveness of mediator styles in intercultural disputes
The difficulties of intercultural negotiations are well established, yet few studies have examined the factors that facilitate the successful resolution of these disputes. This research took a dynamic approach and examined the types of mediation tactics that are most effective in intercultural disputes given specific disputant characteristics. One hundred and ten participants from the United States and Turkey negotiated a community‐based dispute …
The Impact of Cognitive Diversity on Crisis Negotiations
This paper reports on a series of experiments designed to assess the impact of grouping decision makers by level of cognitive complexity on the outcomes they attain in crisis negotiations. The participants—University of Maryland undergraduates who took roles in a simulated international hostage crisis—used a computer decision support system and a controlled network environment for communications. The goal of the experiments was to better understa…
Combining psychological models with machine learning to better predict people’s decisions
Optimal collective dichotomous choice under partial order constraints
The Impact of Cognitive Diversity on Crisis Negotiations
This paper reports on a series of experiments designed to assess the impact of grouping decision makers by level of cognitive complexity on the outcomes they attain in crisis negotiations. The participants—University of Maryland undergraduates who took roles in a simulated international hostage crisis—used a computer decision support system and a controlled network environment for communications. The goal of the experiments was to better understa…
Optimal collective dichotomous choice under partial order constraints
Postulates for revising BDI structures
Combining psychological models with machine learning to better predict people’s decisions
Cultural contingencies of mediation: Effectiveness of mediator styles in intercultural disputes
The difficulties of intercultural negotiations are well established, yet few studies have examined the factors that facilitate the successful resolution of these disputes. This research took a dynamic approach and examined the types of mediation tactics that are most effective in intercultural disputes given specific disputant characteristics. One hundred and ten participants from the United States and Turkey negotiated a community‐based dispute …
Sami: An algorithm for solving the missing node problem using structure and attribute information
WhatsApp usage patterns and prediction of demographic characteristics without access to message content
Social networks on the Internet have become ubiquitous applications that allow people to easily share text, pictures, and audio and video ï¬ les. Popular networks include WhatsApp, Facebook, Reddit, and LinkedIn
Pie: A Data-Driven Payoff Inference Engine for Strategic Security Applications
Although most game theory models assume that payoff matrices are provided as input, getting payoff matrices in strategic games (e.g., corporate negotiations and counter-terrorism operations) has proven difficult. To tackle this challenge, we propose a payoff inference engine (PIE) that finds payoffs assuming that players in a game follow a myopic best response or a regret minimization heuristic. This assumption yields a set of constraints (possib…
Linking Terrorist Network Structure to Lethality: Algorithms and Analysis of Al Qaeda and Isis
Without measures of the lethality of terrorist networks, it is very difficult to assess if capturing or killing a terrorist is effective. We present the predictive lethality analysis of terrorist organization () algorithm, which merges machine learning with techniques from graph theory and social network analysis to predict the number of attacks that a terrorist network will carry out based on a network structure alone. We show that is highly acc…
Computer Science (7 works) · Psychology (5 works) · Artificial Intelligence (3 works) · Law (3 works) · Machine learning (3 works) · Negotiation (3 works) · Political science (3 works) · Algorithm (2 works) · Artificial Intelligence (2 works) · Cognitive science (2 works)