Can Agents Without Concepts Think? An Investigation Using a Knowledge Based System
- Cite this paper as:
- Moss N., Hopgood A., Weller M. (2008) Can Agents Without Concepts Think? An Investigation Using a Knowledge Based System. In: Bramer M., Coenen F., Petridis M. (eds) Research and Development in Intelligent Systems XXIV. Springer, London
Grid-World is a working computer model which has been used to investigate the search capabilities of artificial agents that understand the world in terms of non-conceptual content. The results from this model show that the non-conceptual agent outperformed the stimulus response agent, and both were outperformed by the conceptual agent. This result provides quantitative evidence to support the theoretical argument that animals and pre-linguistic children may use non-conceptual content to understand the world. Modelling these ideas in an artificial environment provides an opportunity for a new approach to artificial intelligence.
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