MATraM is a new agent-based transport model that couples adaptive activity scheduling with mobility simulation to generate emergent patterns from dynamic behavior changes.
The ODD protocol for describing agent-based and other simulation models: a second update to improve clarity, replication, and structural realism
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
A novel agent-based model integrating optimal distinctiveness and cognitive compression via entropy generates emergent heterogeneous opinion clusters that continue to evolve dynamically.
citing papers explorer
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MATraM: A Multi-Activity Transport and Mobility Agent-Based Model for Activity Modifications
MATraM is a new agent-based transport model that couples adaptive activity scheduling with mobility simulation to generate emergent patterns from dynamic behavior changes.
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Opinion polarization from compression-based decision making where agents optimize local complexity and global simplicity
A novel agent-based model integrating optimal distinctiveness and cognitive compression via entropy generates emergent heterogeneous opinion clusters that continue to evolve dynamically.