An Abductive Framework for Horn Knowledge Base Dynamics
Radhakrishnan Delhibabu

TL;DR
This paper proposes a novel abductive framework for Horn knowledge base dynamics that incorporates immutable belief parts and defines a new logical system for belief change.
Contribution
It introduces a new approach to Horn knowledge base dynamics using abductive reasoning and a logical system with its own consequence relation.
Findings
Defines a new logical system for immutable belief parts
Provides an abductive framework for belief updates
Addresses non-deductively closed belief states
Abstract
The dynamics of belief and knowledge is one of the major components of any autonomous system that should be able to incorporate new pieces of information. We introduced the Horn knowledge base dynamics to deal with two important points: first, to handle belief states that need not be deductively closed; and the second point is the ability to declare certain parts of the belief as immutable. In this paper, we address another, radically new approach to this problem. This approach is very close to the Hansson's dyadic representation of belief. Here, we consider the immutable part as defining a new logical system. By a logical system, we mean that it defines its own consequence relation and closure operator. Based on this, we provide an abductive framework for Horn knowledge base dynamics.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Bayesian Modeling and Causal Inference · Multi-Agent Systems and Negotiation
