The Experts below are selected from a list of 2937 Experts worldwide ranked by ideXlab platform
Milind Tambe - One of the best experts on this subject based on the ideXlab platform.
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An extended study on addressing defender Teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs
Multiagent and Grid Systems, 2016Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multi-agent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multi-agent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork
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unleashing dec mdps in security games enabling Effective defender Teamwork
European Conference on Artificial Intelligence, 2014Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multiagent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful Teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for Effective Teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent Teamwork.
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ECAI - Unleashing Dec-MDPs in security games: enabling Effective defender Teamwork
2014Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multiagent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful Teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for Effective Teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent Teamwork.
Eric Shieh - One of the best experts on this subject based on the ideXlab platform.
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An extended study on addressing defender Teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs
Multiagent and Grid Systems, 2016Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multi-agent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multi-agent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork
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unleashing dec mdps in security games enabling Effective defender Teamwork
European Conference on Artificial Intelligence, 2014Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multiagent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful Teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for Effective Teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent Teamwork.
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ECAI - Unleashing Dec-MDPs in security games: enabling Effective defender Teamwork
2014Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multiagent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful Teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for Effective Teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent Teamwork.
Michael A West - One of the best experts on this subject based on the ideXlab platform.
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Comprar Effective Teamwork: Practical Lessons from Organizational Research | Michael A. West | 9781405110570 | Wiley
2020Co-Authors: Michael A WestAbstract:Tienda online donde Comprar Effective Teamwork: Practical Lessons from Organizational Research al precio 26,90 € de Michael A. West, tienda de Libros de Medicina, Libros de Psicologia - Psicologia General
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comprar Effective Teamwork practical lessons from organizational research michael a west 9781405110570 wiley
2008Co-Authors: Michael A WestAbstract:Tienda online donde Comprar Effective Teamwork: Practical Lessons from Organizational Research al precio 26,90 € de Michael A. West, tienda de Libros de Medicina, Libros de Psicologia - Psicologia General
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Effective Teamwork practical lessons from organizational research
2004Co-Authors: Michael A WestAbstract:Effective Teamwork provides all the tools necessary to help teams become more Effective, including case studies, discussion questions, exercises and questionnaires. Drawing on psychological research, the text examines those factors which prevent and promote team Effectiveness. The second edition includes new chapters on creating teams and on conflicts in teams. Now includes more material on team leadership, on the sorts of tasks that are best done by teams, and on the relationship between working in teams and mental health. Contains new sections on introducing Teamwork, on virtual team working and team working across national boundaries, on emotions in teams, and on trust within and between teams.
Pradeep Varakantham - One of the best experts on this subject based on the ideXlab platform.
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An extended study on addressing defender Teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs
Multiagent and Grid Systems, 2016Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multi-agent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multi-agent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork
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unleashing dec mdps in security games enabling Effective defender Teamwork
European Conference on Artificial Intelligence, 2014Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multiagent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful Teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for Effective Teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent Teamwork.
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ECAI - Unleashing Dec-MDPs in security games: enabling Effective defender Teamwork
2014Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multiagent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful Teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for Effective Teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent Teamwork.
Amulya Yadav - One of the best experts on this subject based on the ideXlab platform.
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An extended study on addressing defender Teamwork while accounting for uncertainty in attacker defender games using iterative Dec-MDPs
Multiagent and Grid Systems, 2016Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multi-agent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multi-agent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork
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unleashing dec mdps in security games enabling Effective defender Teamwork
European Conference on Artificial Intelligence, 2014Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multiagent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful Teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for Effective Teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent Teamwork.
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ECAI - Unleashing Dec-MDPs in security games: enabling Effective defender Teamwork
2014Co-Authors: Eric Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind TambeAbstract:Multiagent Teamwork and defender-attacker security games are two areas that are currently receiving significant attention within multiagent systems research. Unfortunately, despite the need for Effective Teamwork among multiple defenders, little has been done to harness the Teamwork research in security games. This paper is the first to remedy this situation by integrating the powerful Teamwork mechanisms offered by Dec-MDPs into security games. We offer the following novel contributions in this paper: (i) New models of security games where a defender team's pure strategy is defined as a Dec-MDP policy for addressing coordination under uncertainty; (ii) New algorithms based on column generation that enable efficient generation of mixed strategies given this new model; (iii) Handling global events during defender execution for Effective Teamwork; (iv) Exploration of the robustness of randomized pure strategies. The paper opens the door to a potentially new area combining computational game theory and multiagent Teamwork.
