On Angels and Demons: Strategic (De)Construction of Dynamic Models

📅 2026-01-12
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the problem of strategic reasoning by agents who modify graph structures in dynamically evolving systems, with applications in communication networks, security protocols, and multi-agent planning. The work proposes three modal logics that formally capture: (1) a “demon” agent deleting edges under cost constraints, (2) an “angel” agent adding edges within a budget, and (3) their collaborative or competitive interactions through update operations. For the first time, strategic graph modifications are unified within a single logical framework that explicitly distinguishes between constructive and destructive actions. By introducing cost-constrained graph-altering operators, the paper precisely characterizes the expressive power and computational complexity of model checking for all three logics.

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📝 Abstract
In recent years, there has been growing interest in logics that formalise strategic reasoning about agents capable of modifying the structure of a given model. This line of research has been motivated by applications where a modelled system evolves over time, such as communication networks, security protocols, and multi-agent planning. In this paper, we introduce three logics for reasoning about strategies that modify the topology of weighted graphs. In Strategic Deconstruction Logic, a destructive agent (the demon) removes edges up to a certain cost. In Strategic Construction Logic, a constructive agent (the angel) adds edges within a cost bound. Finally, Strategic Update Logic combines both agents, who may cooperate or compete. We study the expressive power of these logics and the complexity of their model checking problems.
Problem

Research questions and friction points this paper is trying to address.

strategic reasoning
model modification
weighted graphs
dynamic topology
multi-agent systems
Innovation

Methods, ideas, or system contributions that make the work stand out.

strategic reasoning
graph modification
modal logic
model checking
multi-agent systems
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