Emergence of Agency from a Causal Perspective
dc.contributor.author | Ånestrand, Alvin | |
dc.contributor.department | Chalmers tekniska högskola / Institutionen för matematiska vetenskaper | sv |
dc.contributor.examiner | Lundh, Torbjörn | |
dc.contributor.supervisor | Häggström, Olle | |
dc.contributor.supervisor | Fox, James | |
dc.contributor.supervisor | Everitt, Tom | |
dc.date.accessioned | 2024-08-13T10:40:32Z | |
dc.date.available | 2024-08-13T10:40:32Z | |
dc.date.issued | 2024 | |
dc.date.submitted | ||
dc.description.abstract | Causal models of agents and agentic behavior allows for safety analysis of machine learning systems. Understanding how goal-directed behavior emerges from adapting to an environment is however non-trivial. This thesis addresses the gap between theoretical models and real-world implementations of machine learning systems, though a framework that formalizes the connection between system dynamics and goal-driven behavior. This thesis introduces novel probabilistic graphical models for describing system dynamics involving learning agents, based on dynamic bayesian networks, which allows for a flexible representation of causal relationships in the training environment. To analyze goal-directed behavior that emerges from interacions between agents and the environment, the thesis also introduces temporally abstracted models. Such a model captures the dynamics of a system after the learning process has converged, derived from a model of the learning process. A temporally abstracted model describes potential outcomes involving equilibria between agents and the environment, and can under certain conditions be viewed as a model of goal-directed behavior in the system. | |
dc.identifier.coursecode | MVEX03 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12380/308368 | |
dc.language.iso | eng | |
dc.setspec.uppsok | PhysicsChemistryMaths | |
dc.subject | Intelligent agent, objective, causal influence diagram, causal model, emergence, learning, equilibria, dynamical systems, goal-directed behavior | |
dc.title | Emergence of Agency from a Causal Perspective | |
dc.type.degree | Examensarbete för masterexamen | sv |
dc.type.degree | Master's Thesis | en |
dc.type.uppsok | H | |
local.programme | Data science and AI (MPDSC), MSc |