Unified theories of cognition
Knowledge representation: logical, philosophical and computational foundations
Knowledge representation: logical, philosophical and computational foundations
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Spatial and Cognitive Simulation with Multi-agent Systems
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Integrated Agent-Based Modeling with GIS for Large Scale Emergency Simulation
ISICA '08 Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence
Holonic Modelling of Large Scale Geographic Environments
HoloMAS '09 Proceedings of the 4th International Conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing
EKNOW '10 Proceedings of the 2010 Second International Conference on Information, Process, and Knowledge Management
Development of intelligent systems and multi-agents systems with amine platform
ICCS'06 Proceedings of the 14th international conference on Conceptual Structures: inspiration and Application
| Hi-index | 0.00 |
In this paper, we propose a novel approach that extends our Informed Virtual Geographic Environment (IVGE) model in order to effectively manage knowledge about the environment and support agents' cognitive capabilities and spatial behaviours. Our approach relies on previous well established theories on human spatial behaviours and the way people apprehend the spatial characteristics of their surroundings in order to navigate and to interact with the physical world. It is also inspired by Gibson's work on affordances and knowledge provided by the environment to guide agent-environment interactions. The main contribution of our approach is to provide cognitive situated agents with: (1) knowledge about the environment represented using Conceptual Graphs (CG); (2) tools and mechanisms that allow them to acquire knowledge about the environment; and (3) the capability to reason about this knowledge and to autonomously make decisions and to act with respect to both their own and the virtual environment's characteristics.