Improving resource allocation strategies against human adversaries in security games: an extended study

DOI10.1016/j.artint.2012.11.004zbMath1270.91015OpenAlexW2151766068MaRDI QIDQ360141

Milind Tambe, Rong Yang, Fernando Ordóñez, Christopher Kiekintveld, Richard S. John

Publication date: 26 August 2013

Published in: Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: http://www.sciencedirect.com/science/article/pii/S000437021200152X

Mathematics Subject Classification ID

Hierarchical games (including Stackelberg games) (91A65) Rationality and learning in game theory (91A26) Experimental studies (91A90) Decision theory for games (91A35)

Related Items (11)

Risk Averse Stackelberg Security Games with Quantal Response ⋮ Network Elicitation in Adversarial Environment ⋮ Multithreat multisite protection: a security case study ⋮ Comparing human behavior models in repeated Stackelberg security games: an extended study ⋮ A complete analysis on the risk of using quantal response: when attacker maliciously changes behavior under uncertainty ⋮ The risk of attacker behavioral learning: can attacker fool defender under uncertainty? ⋮ Attacker-defender model against quantal response adversaries for cyber security in logistics management: an introductory study ⋮ Modeling Credible Retaliation Threats in Deterring the Smuggling of Nuclear Weapons Using Partial Inspection—A Three-Stage Game ⋮ Allocating limited resources to protect a massive number of targets using a game theoretic model ⋮ Exploiting bounded rationality in risk-based cyber camouflage games ⋮ Identification and prioritization of human resource strategies with employees' creativity approach in administrative organizations using SWOT-ANP

This page was built for publication: Improving resource allocation strategies against human adversaries in security games: an extended study