Structural Bayesian network learning in a biological decision-theoretic intelligent agent and its application to a herding problem in the context of distributed multi-agent systems

Author(s):  
F. Sahin ◽  
J.S. Bay
Author(s):  
Awais Qasim ◽  
Zeeshan Aziz ◽  
Syed Asad Raza Kazmi ◽  
Adnan Khalid ◽  
Ilyas Fakhir ◽  
...  

Author(s):  
Ross A. Lumley

The chapter reviews how the financial markets historically have been affected by new technologies and shows that, time and again, technological advances have impacted the very workflow of the financial market processes including the available financial instruments. Present technologies are discussed leading to a framework for how they form the basis for building intelligent agent systems. An overview of multi-agent systems is provided followed by several examples of multi-agent systems supporting investors in financial markets.


Author(s):  
Genong Yu ◽  
Liping Di ◽  
Wenli Yang ◽  
Peisheng Zhao ◽  
Peng Yue

Multi-agent system is specialized in studying the collective effects of multiple intelligent agents. An intelligent agent is a computer system with autonomous action in an environment. This technology is especially suitable for studying geospatial phenomena since they are complex in nature and call for intertwined actions from different forces. This chapter describes multi-agent systems and their application in geospatial modeling, simulation and computing. Geospatial data integration and mining are discussed.


Author(s):  
Ross A. Lumley

The chapter reviews how the financial markets historically have been affected by new technologies and shows that, time and again, technological advances have impacted the very workflow of the financial market processes including the available financial instruments. Present technologies are discussed leading to a framework for how they form the basis for building intelligent agent systems. An overview of multi-agent systems is provided followed by several examples of multi-agent systems supporting investors in financial markets.


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