Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Representations and solutions for game-theoretic problems
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Rational Coordination in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Negotiation on Data Allocation in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
Game Theory and Decision Theory in Multi-Agent Systems
Autonomous Agents and Multi-Agent Systems
Dynamic bayesian networks: representation, inference and learning
Dynamic bayesian networks: representation, inference and learning
A causal mapping approach to constructing Bayesian networks
Decision Support Systems
Editorial: decision theory and game theory in agent design
Decision Support Systems - Special issue: Decision theory and game theory in agent design
Games with Incomplete Information Played by "Bayesian" Players, I-III
Management Science
Decision Support Systems
Information, decision-making and deception in games
Decision Support Systems
Efficiency of influence diagram models with continuous decision variables
Decision Support Systems
| Hi-index | 0.00 |
Developers of tomorrow's command and control centers are facing numerous problems related to the vast amount of available information obtained from various sources. On a lower level, huge amounts of uncertain reports from different sensors need to be fused into comprehensible information. On a higher level, representation and management of the aggregated information will be the main task, with prediction of future course of events being the uttermost goal. Unfortunately, traditional agent modeling techniques do not capture situations where commanders make decisions based on other commanders' reasoning about one's own reasoning. To cope with this problem, we propose a decision support tool for command and control situation awareness enhancements based on game theory for inference and coupled with traditional AI methods for uncertainty modeling.