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A Computational Model for Building Modular Animals: Design and Configuration of the Decision Network

Balasubramanian, Anand Krishnan
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367924268

Abstract Details

2013, MS, University of Cincinnati, Engineering and Applied Science: Electrical Engineering.
The factors behind the ability of animals to perform complex tasks in a dynamic environment are a fascinating area of research. In order to effectively build adaptable and robust artificial intelligent systems, it is important to fully understand how complex behavior emerges through self-organization and embodiment in the actual animals. Biologically-inspired modeling has emerged as the most effective way of building artificial animals capable of complex behaviors in the recent times, and is the primary research focus in this thesis. The following hypotheses are the fundamental basis of this work: 1) Artificial intelligent systems built using developmental and/or evolutionary learning techniques are more efficient in performing complex tasks in dynamic environment; 2) Embodiment plays a significant role in emergence of intelligent behavior in complex animals; 3) Modularity is one of the major factors that favors the `evolvability' of systems; 4) Complex animals arise through systematic reconfiguration and duplication, composition, reorganization and reallocation of modules in simpler modular animals through evolution. This thesis extends a previously developed framework for configuring and simulating modular animals to add a control structure that receives sensory input and generates neural control signals for the motor system. The framework also allows the possibility of simulating developmental processes to systematically build complex animals. The ultimate objective is to develop an environment for evolving animals that would be capable of highly complex and intelligent behavior.
Ali Minai, Ph.D. (Committee Chair)
Raj Bhatnagar, Ph.D. (Committee Member)
Carla Purdy, Ph.D. (Committee Member)
135 p.
Engineering
motor system network;

Recommended Citations

Citations

  • Balasubramanian, A. K. (2013). A Computational Model for Building Modular Animals: Design and Configuration of the Decision Network [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367924268

    APA Style (7th edition)

  • Balasubramanian, Anand Krishnan. A Computational Model for Building Modular Animals: Design and Configuration of the Decision Network. 2013. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367924268.

    MLA Style (8th edition)

  • Balasubramanian, Anand Krishnan. "A Computational Model for Building Modular Animals: Design and Configuration of the Decision Network." Master's thesis, University of Cincinnati, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1367924268

    Chicago Manual of Style (17th edition)

ucin1367924268
337
© 2013, some rights reserved.Creative Commons License A Computational Model for Building Modular Animals: Design and Configuration of the Decision Network by Anand Krishnan Balasubramanian is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by University of Cincinnati and OhioLINK.