The design of intelligent and autonomous systems that demonstrate high-level cognitive and complex decision making capabilities is well known to be a difficult engineering problem. An intelligent system should be able to learn from decisions or actions made at every state of the environment in order to improve its desired goals in an efficient manner. Building autonomous agents that perceive the environment, plan actions based on certain goals, and learn from the actions taken in their operating environment are some of the fundamental issues to contend with.
This problem involves numerous considerations that must be implemented at the system level. No one discipline can independently design autonomous systems solely with theories and methods specific to its field. It is an interdisciplinary endeavour where insights, concepts, hypotheses, and methods intersect.
The goal of this special issue is to address and publish the latest papers on a variety of topics related to intelligent and autonomous systems and to focuses on theories and topics concepts that address these issues.
Suitable topics include but are not limited to:
- Nature of intelligence and autonomy and how it can be characterized
- Fundamental principles necessary for designing intelligent and autonomous systems
- Principles of building autonomous agents for application in various domains
Full paper submission: 15 February, 2011
Notification of reviews: 15 March, 2011
Revised manuscript submission: 15 April, 2011
Notification of results: 2 May, 2011
Accepted Final Paper: 15 May, 2011
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