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Towards a Brain Inspired Model of Self-Awareness for Sociable Agents


Authors: B. Subagdja and A.-H. Tan
Title: Towards a Brain Inspired Model of Self-Awareness for Sociable Agents
Abstract: Self-awareness is a crucial feature for a sociable agent or robot to better interact with humans. In a futuristic scenario, a conversational agent may occasionally be asked for its own opinion or suggestion based on its own thought, feelings, or experiences as if it is an individual with identity, personality, and social life. In moving towards that direction, in this paper, a brain inspired model of self-awareness is presented that allows an agent to learn to attend to different aspects of self as an individual with identity, physical embodiment, mental states, experiences, and reflections on how others may think about oneself. The model is built and realized on a NAO humanoid robotic platform to investigate the role of this capacity of self-awareness on the robot’s learning and interactivity.
Keywords: 
Conference Name: 31st AAAI Conference on Artificial Intelligence (AAAI'17)
Location: San Francisco, USA
Publisher: AAAI
Year: 2017
Accepted PDF File: Towards_a_Brain_Inspired_Model_of_Self-Awareness_for_Sociable_Agents_accepted.pdf
Permanent Link: http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14596
Reference: B. Subagdja and A.-H. Tan, “Towards a brain inspired model of self-awareness for sociable agents,” in Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’17). AAAI, February 2017, pp. 4452–4458.
bibtex: 
@inproceedings{LILY-c113, 
    author	= {Subagdja, Budhitama and Tan, Ah-Hwee},
    title	= {Towards a Brain Inspired Model of Self-Awareness for Sociable Agents},  
    booktitle	= {Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17)}, 
    year		= {2017}, 
    month	= {February}, 
    pages	= {4452-4458}, 
    location	= {San Francisco, USA},
    publisher	= {AAAI},
 }