Towards adaptive maps. Issue 3 (2nd November 2018)

• Record Type: Journal Article
• Authors: Torres, Marina; Pelta, David A.; Verdegay, José L.; Cruz, Carlos
• Is Part Of: International journal of intelligent systems. Volume 34:Issue 3(2019)
• Page Start: 400
• Page End: 414
• Publication Date: 2018-11-02
• Subjects: Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; 006.3
• DOI: 10.1002/int.22058
• Languages: English
• ISSNs: 0884-8173

Abstract

Abstract: A "standard" map provides a simplified representation of the real world but is not able to adapt to the needs of different users having different preferences. On the contrary, adaptive maps are aimed at representing the world as seen through the eyes of the user depicting the suitability/difficulty of the paths between points of interest according to the user's preferences. Adaptive maps consider, simultaneously, multiple attributes like travel time, distance, slopes, etc. In this paper, a model for adaptive maps is presented. A generation and a visualization methods are proposed. To illustrate the results, five different adaptive maps are generated and visualized considering different attributes and preferences.