نتایج جستجو برای: مدل استراتژیک soar

تعداد نتایج: 125497  

2017
Chien Van Dang Tin Trung Tran Trung Xuan Pham Ki-Jong Gil Yong-Bin Shin Jong-Wook Kim

This paper proposes combination of a cognitive agent architecture named Soar (State, operator, and result) and ROS (Robot Operating System), which can be a basic framework for a robot agent to interact and cope with its environment more intelligently and appropriately. The proposed Soar-ROS human-robot interaction (HRI) agent understands a set of human’s commands by voice recognition and choose...

1993
Richard L. Lewis

According to Zenon Pylyshyn, Allen Newell took the high road in psychology by working on a theory of the mind intended to cover a wide range of cognitive behavior. Both Newell and Pylyshyn have put forth convincing arguments about the merits of such a research path, and the central role that cognitive architecture plays in it one to develop detailed models of local phenomena while addressing gl...

1994
Michael van Lent Robert Wray

Testing and knowledge acquisition have been two of the most tedious and time consuming tasks in the development of IFOR agents in the TacAir-Soar (TAS) project. This paper presents some suggestions for a human control tool, similar to a simple ight simulator, that can be helpful in these two areas. Furthermore, we discuss some of the design considerations and implementation issues that are face...

Journal: :AI Magazine 1995
Milind Tambe W. Lewis Johnson Randolph M. Jones Frank V. Koss John E. Laird Paul S. Rosenbloom Karl Schwamb

Interactive simulation environments constitute one of today’s promising emerging technologies, with applications in areas such as education, manufacturing, entertainment and training. These environments are also rich domains for building and investigating intelligent automated agents, with requirements for the integration of a variety of agent capabilities, but without the costs and demands of ...

2007
John E. Laird Paul S. Rosenbloom Allen Newell

In this article we describe an approach to the construction of a general learning mechanism based on chunking in Soar. Chunking is a learning mechanism that acquires rules from goal-based experience. Soar is a general problem-solving architecture with a rulebased memory. In previous work we have demonstrated how the combination of chunking and Soar could acquire search-control knowledge (strate...

2015
John E. Laird Paul S. Rosenbloom Allen Newell John McDermott

2015
Jesús Hernández-Pliego Carlos Rodríguez Javier Bustamante Sergio A Lambertucci

Individuals allocate considerable amounts of energy to movement, which ultimately affects their ability to survive and reproduce. Birds fly by flapping their wings, which is dependent on the chemical energy produced by muscle work, or use soaring-gliding flight, in which chemical energy is replaced with energy harvested from moving air masses, such as thermals. Flapping flight requires more ene...

Journal: :Journal of Chemical Education 1982

Journal: :International Journal of Computer Applications 2019

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