Synthetic Emotions for Empathic Building

Empathic buildings are intelligent ones that aim to measure and execute the best user experience. A smoother and intuitive environment leads to a better mood. The system gathers data from sensors that measure things like air quality, occupancy, noise and analyse it for the better experience of the users. This research proposes an artificial intelligence-based approach to detect synthetic emotions based on Thayer’s emotional model and Fuzzy Cognitive Maps. This emotional model is based on a biopsychological approach to the analysis of the humans’ emotional state. In this research, Fuzzy Grey Cognitive Maps are used, which are an extension of the fuzzy cognitive maps using the grey systems theory to model uncertainty. Fuzzy Cognitive Grey Maps (FGCMs) have become a very valuable theory for modeling high-uncertainty systems when small and incomplete discrete data sets are available. This research includes experiments with a couple of synthetic case studies for testing this proposal. This proposal provides an innovative way for simulating synthetic emotions and designing an empathic building.

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Fuzzy Cognitive Maps and Grey Systems Theory in the Supply Chain Management Context: a literature review and a research proposal

2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2018.8491473 ◽

2018 ◽

Author(s):

Lucas Gabriel Zanon ◽

Luiz Cesar Ribeiro Carpinetti

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Literature Review ◽

Systems Theory ◽

Cognitive Maps ◽

Fuzzy Cognitive Maps ◽

Research Proposal ◽

Chain Management ◽

Grey Systems Theory ◽

Management Context

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Analyzing and simplifying model uncertainty in fuzzy cognitive maps

2017 Winter Simulation Conference (WSC) ◽

10.1109/wsc.2017.8247923 ◽

2017 ◽

Cited By ~ 5

Author(s):

Eric A. Lavin ◽

Philippe J. Giabbanelli

Keyword(s):

Model Uncertainty ◽

Cognitive Maps ◽

Fuzzy Cognitive Maps

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Integrated Decision-Making System for Robot Soccer

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2011.p0156 ◽

2011 ◽

Vol 15 (2) ◽

pp. 156-163 ◽

Cited By ~ 11

Author(s):

Ján Vaščák ◽

◽

Kaoru Hirota ◽

Keyword(s):

Artificial Intelligence ◽

Decision Making ◽

Cognitive Maps ◽

Fuzzy Cognitive Maps ◽

Robot Soccer ◽

Decision Making System ◽

Integrated Decision Making ◽

Decision Tasks

This paper deals with the design of an integrated decision-making system for robot soccer. Three main tasks groups of decision-making are discussed based on an analysis of artificial intelligence means used by individual teams – choice of playing strategy, navigation, and kicking. The paper shows that crisp splitting of these decision-making groups is suspicious, and, instead, the use of a convenient implementation means to keep them together is recommended. In this case, fuzzy cognitive maps are introduced whose role is to integrate decision tasks, which is the main contribution of this paper. The paper describes a new design for kicking decisions. The system was successfully tested in the simulator Webots and some concluding remarks are made.

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Wastewater management using artificial intelligence

E3S Web of Conferences ◽

10.1051/e3sconf/20184500050 ◽

2018 ◽

Vol 45 ◽

pp. 00050 ◽

Cited By ~ 1

Author(s):

Gabriel Markovič

Keyword(s):

Artificial Intelligence ◽

Subject Matter ◽

Cognitive Maps ◽

Fuzzy Cognitive Maps ◽

Wastewater Management ◽

Management Process ◽

Water Usage ◽

Rainwater Management ◽

The Subject ◽

Effective Use

The subject matter, as well as the objectives of this article, was the usage and the modelling of the rainwater management process using artificial intelligence. The article deals with the research on how and why water should be used more effectively whether it is rainwater or greywater. In Slovakia, the usage of rainwater or greywater is not so popular. However, such usage has many advantages from an ecological, economical and technical viewpoint. In this article, a proposal was created of rainwater usage in a school building and this usage was realized by using Fuzzy cognitive maps. Fuzzy cognitive maps represent a well-oriented and evaluated diagram and it helped us to create a concrete process of water usage. The output of this experiment will be the decision system for the most effective use of water in a building, as well as the most effective way for the recycling of wastewater in buildings.

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