A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Today the earwig, tomorrow man?
Artificial Intelligence
Spatial tessellations: concepts and applications of Voronoi diagrams
Spatial tessellations: concepts and applications of Voronoi diagrams
A tunable distance measure for coloured solid models
Artificial Intelligence
Emergence of symbolic behavior from brain like memory with dynamic attention
Neural Networks - Special issue on organisation of computation in brain-like systems
Artificial Intelligence
Conceptual Spaces: The Geometry of Thought
Conceptual Spaces: The Geometry of Thought
The Emergence of Data Structures from Local Interactions
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
Conceptual Spaces as Voltage Maps
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Conceptual Spaces as Voltage Maps
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Reformulation of the theory of conceptual spaces
Information Sciences: an International Journal
Transferring embodied concepts between perceptually heterogeneous robots
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A metric conceptual space algebra
COSIT'09 Proceedings of the 9th international conference on Spatial information theory
Unifying Conceptual Spaces: Concept Formation in Musical Creative Systems
Minds and Machines
A cognitive model in which representations are images
Cognitive Systems Research
| Hi-index | 0.00 |
Representing cognitive processes remains one of the great research challenges. Many important application areas, such as clinical diagnosis, operate in an environment of relative magnitudes, counts, shapes, colours, etc. which are not well captured by current representational approaches. This paper presents conceptual spaces as a meso level representation for cognitive systems, between the high level symbolic representations and the subconceptual connectionist representations which have dominated AI. Conceptual spaces emphasize orders and measures and therefore naturally represent counts, magnitudes, and volumes. Taking Grdenfors' decade-long investigation of conceptual spaces [Grdenfors, Conceptual Spaces: The Geometry of Thought, MIT Press, 2000] as start point, the paper presents a formal foundation for conceptual spaces, shows how they are theoretically and practically linked to higher and lower representational levels, and develops dynamics which allow the orbits of states in the space to solve appropriate meso level reasoning tasks. Interpretations of conceptual spaces are given to illustrate the formal definitions and show the flexibility of the representation.