Modules, Layers, Hierarchies, and Loops Where Artificial Intelligence Meets Ethology and Neuroscience – In Context of Action Selection

作者: Pinar Öztürk

DOI: 10.1007/11499220_2

关键词:

摘要: The paper presents arguments for why AI methodologies should be informed of both behavioural science and neuroscience studies, argues this is possible. Through identifying the resemblance points, we will discuss whether findings ethology can used in process design development non-classical systems. To end, focus on a specific example that has long been investigated all concerned disciplines: action selection problem. overviews mechanisms behaviour-based order to identify commonalities underly understanding different disciplines, may constitute pieces common language with which communicate ideas from neuroscience.

参考文章(16)
Julio K. Rosenblatt, Charles E. Thorpe, A Behavior-based Architecture for Mobile Navigation Springer, Boston, MA. pp. 19- 32 ,(1997) , 10.1007/978-1-4615-6325-9_2
Ronald C. Arkin, An Behavior-based Robotics MIT Press. ,(1998)
Peter M. Todd, Bruce M. Blumberg, No Bad Dogs: Ethological Lessons for Learning in Hamsterdam* ,(1999)
Jon Rigelsford, Behaviour‐based Robotics Industrial Robot-an International Journal. ,vol. 28, pp. 266- 267 ,(2001) , 10.1108/IR.2001.28.3.266.3
Gary Kahn, John McDermott, The Mud System IEEE Intelligent Systems. ,vol. 1, pp. 23- 32 ,(1986) , 10.1109/MEX.1986.5006495
Julio K. Rosenblatt, DAMN: a distributed architecture for mobile navigation Journal of Experimental and Theoretical Artificial Intelligence. ,vol. 9, pp. 339- 360 ,(1997) , 10.1080/095281397147167
Allen Newell, The knowledge level Artificial Intelligence. ,vol. 18, pp. 87- 127 ,(1982) , 10.1016/0004-3702(82)90012-1
Pattie Maes, Situated agents can have goals Robotics and Autonomous Systems. ,vol. 6, pp. 49- 70 ,(1990) , 10.1016/S0921-8890(05)80028-4