Related papers: Paradigms of Computational Agency

Paradigms of Computational Agency

URL: http://arxiv.org/abs/2112.05575v1
Date: Fri, 10 Dec 2021 14:42:49 GMT
Title: Paradigms of Computational Agency
Authors: Srinath Srinivasa and Jayati Deshmukh
Abstract summary: Agent-based models have emerged as a promising paradigm for addressing ever increasing complexity of information systems. This paper presents a perspective on the disparate ways in which our understanding of agency, as well as computational models of agency have evolved.
Score: 0.0
License: http://creativecommons.org/licenses/by/4.0/
Abstract: Agent-based models have emerged as a promising paradigm for addressing ever increasing complexity of information systems. In its initial days in the 1990s when object-oriented modeling was at its peak, an agent was treated as a special kind of "object" that had a persistent state and its own independent thread of execution. Since then, agent-based models have diversified enormously to even open new conceptual insights about the nature of systems in general. This paper presents a perspective on the disparate ways in which our understanding of agency, as well as computational models of agency have evolved. Advances in hardware like GPUs, that brought neural networks back to life, may also similarly infuse new life into agent-based models, as well as pave the way for advancements in research on Artificial General Intelligence (AGI).

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