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Modeling Intelligent Decision Making Command And Control Agents: An Application to Air Defense

Das, Sumanta Kumar

arXiv.org Artificial Intelligence

The paper is a half-way between the agent technology and the mathematical reasoning to model tactical decision making tasks. These models are applied to air defense (AD) domain for command and control (C2). It also addresses the issues related to evaluation of agents. The agents are designed and implemented using the agent-programming paradigm. The agents are deployed in an air combat simulated environment for performing the tasks of C2 like electronic counter counter measures, threat assessment, and weapon allocation. The simulated AD system runs without any human intervention, and represents state-of-the-art model for C2 autonomy. The use of agents as autonomous decision making entities is particularly useful in view of futuristic network centric warfare.


AI's 10 to Watch, 2015 IEEE Intelligent Systems

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In early 2015, IEEE Intelligent Systems solicited nominations for its "10 to Watch" from a wide range of senior AI researchers from both academia and industry. The nominees all received their PhDs in the past five years. A short list of top candidates was voted on by the selection committee, consisting of members of the Intelligent Systems editorial and advisory boards. The final decisions were made by the entire boards. I would like to take this opportunity to thank Raymond Perrault, who served as the Chair of this year's selection committee and did a great job managing the selection process.



AI

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This feature presents the inaugural induction of the it IEEE Intelligent Systems /it Hall of Fame.



IEEE Xplore: IEEE Intelligent Systems - ( Volume 21 Issue 4 )

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In our modern information society, people need to manage ever-increasing numbers of personal devices and conduct more of their work and activities online, often using heterogeneous services. The amount of information each individual has to process is constantly growing, making this information increasingly difficult to control, channel, share, and constructively use. To mitigate this, computing mu... View full abstract»