Who am I?: Towards social self-awareness for intelligent agents

• Main Authors: SUBAGDJA, Budhitama, TAY, Han Yi, TAN, Ah-hwee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Humans and AI: Cognitive Modeling; Agent-based and Multi-agent Systems: Human-Agent Interaction; Humans and AI: Human-AI Collaboration; Humans and AI: Personalization and User Modeling; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/6177; https://ink.library.smu.edu.sg/context/sis_research/article/7180/viewcontent/0606.pdf
• Institution: Singapore Management University

Most of today’s AI technologies are geared towards mastering specific tasks performance through learning from a huge volume of data. However, less attention has still been given to make the AI understand its own purposes or be responsible socially. In this paper, a new model of agent is presented with the capacity to represent itself as a distinct individual with identity, a mind of its own, unique experiences, and social lives. In this way, the agent can interact with its surroundings and other agents seamlessly and meaningfully. A practical framework for developing an agent architecture with this model of self and self-awareness is proposed allowing self to be ascribed to an existing intelligent agent architecture in general to enable its social ability, interactivity, and co-presence with others. Possible applications are discussed with some exemplifying cases based on an implementation of a conversational agent.