Agent theories, architectures, and languages: a survey
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
Towards a modeling formalism for conflict management
Discrete event modelng and simulation technologies
Behavioral anticipation in agent simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind
Requirements and design principles for multisimulation with multiresolution, multistage multimodels
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Improving program comprehension by combining code understanding with comment understanding
Knowledge-Based Systems
Synergies of simulation, agents, and systems engineering
Expert Systems with Applications: An International Journal
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Machine understanding is an essential and desirable cognitive ability for advanced software agents. In this article, we elaborate on: (1) yet another advanced feature, i. e., multi-understanding that is more than one understanding of an entity and (2) switchable understanding that is selecting one or more of the alternative understandings resulting in a multi-understanding. The rationale for the need and characteristics of multi-understanding as well as switchable understanding are clarified. This article is a background article; hence only the bases are covered.