Intelligence without representation
Artificial Intelligence
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
The PROCOPE semantic network: an alternative to action grammars
International Journal of Human-Computer Studies
The Role of Context in Interpreting Perceived Events as Actions
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
A Model of Explicit Context Representation and Use for Intelligent Agents
CONTEXT '99 Proceedings of the Second International and Interdisciplinary Conference on Modeling and Using Context
Visual recognition of multiagent action
Visual recognition of multiagent action
Modeling adaptive autonomous agents
Artificial Life
Using activity theory to model context awareness
MRC'05 Proceedings of the Second international conference on Modeling and Retrieval of Context
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The specific objective of this paper is to introduce the computer model ACACIA (Action by Contextually Automated Categorizing Interactive Agents) capable of simulating the way in which context is taken into account for the interpretation of perceived actions elaborated by a number of autonomous moving agents in a bidimensional space. With this in mind, we will examine some different modeling approaches in Artificial Intelligence and Artificial Life and emphasize the strong and weak points of each approach in relation to the set of issues addressed by our theory based on Contextual Categorization. Second, we provide a theoretical explanation of how contextual categorization accounts for temporal and environmental context to interpret ongoing situations in terms of perceived action. Finally, we describe the computer implementation of ACACIA, and we propose a preliminary simulation of a simple situation using StarLogo software.