Coping with the complexity of cognitive decision-making: The TOGA meta-theory approach
© Springer International Publishing Switzerland 2013. One of the more complex systems of the real-world is the intelligent agent reasoning. The key elements of this mental activity is cognitive decision-making (CDM). The aim of this work is to recognize the initial situations of depended types of CDM which are realized by an intelligent agents, such as a human beings, their organizations and intelligent human-machine systems. The assumed framework of this classification is based on Gadomski’s TOGA meta-theory (Top-down Object-based Goal-oriented Approach). The model of the information, preferences and knowledge (IPK) enables classification and recognition of the human cognitive errors in CDM. In parallel, the dependence of IPK on the assumed agent ontology is underlined.