This thesis aims to establish whether the traditional view of identity -specifically, personal identity- can be applied to Autonomous Agents based on the BDI (Belief-Desire-Intention) model. Its purpose is to provide a theoretical platform that may serve as a foundation for further discussions on the role intelligent machines might occupy in the future, as the digital world becomes increasingly embedded into our daily lives. With Artificial Intelligence systems integrating in human social and legal frameworks, defining their identity holds significant ethical and practical implications. To this end, the thesis presents a comprehensive overview of the historical discourse on identity across four interwoven areas of progressive abstraction: analytical philosophy, philosophical discourse on personal identity, sociocultural studies, and legislation. It proposes a novel frame work that synthesises insights from these disciplines. Each field provides tools for forming a fuller and more informed conclusion on the subject, which are ultimately applied to a proposed definition of identity capable of accommodating both human and non-human entities. A key concept in this discussion is the distinction between "self" and "identity", terms that have often been conflated or confused.