We present a general framework for defining priors on model structure and sampling from the posterior using the Metropolis-Hastings algorithm. The key ideas are that structure pri...
This paper gives a theoretical framework for clustering a set of conceptual graphs characterized by sparse descriptions. The formed clusters are named in an intelligible manner thr...
In this paper we propose that a metaphor can be used to represent domains that are not easily quantifiable. The metaphor then can be used as an interface to communicate informatio...
We give a brief overview of the main characteristics of diagrammatic reasoning, analyze a case of human reasoning in a mastermind game, and explain why hybrid representation system...
Abstract. Geographical Information Science is essentially computational geography and has its own research program, namely all aspects of formal models for spatial natural processe...