Belief Injection for Epistemic Control in Linguistic State Space
Sebastian Dumbrava

TL;DR
This paper presents belief injection, a novel proactive method for controlling an artificial agent’s linguistic beliefs, enhancing reasoning and alignment within a structured cognitive state based on the Semantic Manifold framework.
Contribution
It introduces belief injection as a new epistemic control mechanism, detailing strategies and contrasting it with belief filtering, with discussions on applications and future research directions.
Findings
Belief injection effectively influences agent reasoning.
Different injection strategies offer flexible control.
Discussion on ethical and practical considerations.
Abstract
This work introduces belief injection, a proactive epistemic control mechanism for artificial agents whose cognitive states are structured as dynamic ensembles of linguistic belief fragments. Grounded in the Semantic Manifold framework, belief injection directly incorporates targeted linguistic beliefs into an agent's internal cognitive state, influencing reasoning and alignment proactively rather than reactively. We delineate various injection strategies, such as direct, context-aware, goal-oriented, and reflective approaches, and contrast belief injection with related epistemic control mechanisms, notably belief filtering. Additionally, this work discusses practical applications, implementation considerations, ethical implications, and outlines promising directions for future research into cognitive governance using architecturally embedded belief injection.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Multi-Agent Systems and Negotiation · AI-based Problem Solving and Planning
