Navigation and mapping in large-scale space
AI Magazine
Representations of commonsense knowledge
Representations of commonsense knowledge
Basic category theory for computer scientists
Basic category theory for computer scientists
Report on the programming language Haskell: a non-strict, purely functional language version 1.2
ACM SIGPLAN Notices - Haskell special issue
Categories and computer science
Categories and computer science
Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Mindstorms: children, computers, and powerful ideas
Mindstorms: children, computers, and powerful ideas
Proceedings of the international conference on Spatial Cognition VI: Learning, Reasoning, and Talking about Space
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Maps are very efficient to communicate spatial situations. A theoretical framework for a formal discussion of map production and map use is constructed using a multi-agent framework. Multi-agent systems are computerized models that simulate persons as autonomous agents in a simulated environment, with their simulated interaction. A model of the process of map production and map use is constructed based on a two-tiered reality and beliefs model, in which facts describing the simulated environment and the simulated agents' beliefs of this environment are separated. This permits to model errors in the persons' perception of reality. A computerized model was coded, including all operations: the observation of reality by a person, the production of the map, the interpretation of the map by another person and his use of the knowledge acquired from the map for navigation, are simulated as operations of agents in a simulated environment.