SpringerBriefs in Computational Intelligence

Dark Side of AI

A Human and Societal Perspective

Health and Wellness Measurement Approaches for Mobile Healthcare

New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

Extension of the Fuzzy Sugeno Integral Based on Generalized Type-2 Fuzzy Logic

Robot Memetics

A Space Exploration Perspective

General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm

Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

Differential Evolution Algorithm with Type-2 Fuzzy Logic for Dynamic Parameter Adaptation with Application to Intelligent Control

Computational Intelligence and Biomedical Signal Processing

An Interdisciplinary, Easy and Practical Approach

New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

Internet of Things for Indoor Air Quality Monitoring

Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

Robots and AI: Illusions and Social Dilemmas

Cartesian Illusions and Social Unsettling Questions

Multi-Winner Voting with Approval Preferences

Robots in Care and Everyday Life

Future, Ethics, Social Acceptance

Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks

Computational Modelling of Robot Personhood and Relationality

Mycorrhiza Optimization Algorithm

Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks

Type-3 Fuzzy Logic in Time Series Prediction

AI for Understanding Context

Clustering, Classification, and Time Series Prediction by Using Artificial Neural Networks

Type-3 Fuzzy Logic and Fractal Theory for Medical Diagnosis

Neural Network Methods for Dynamic Equations on Time Scales

Artificial Intelligence Proxy Models: Applications in Geosciences

Computational Framework for Energy Policy Coherence

Management of Complex Multi-reservoir Water Distribution Systems using Advanced Control Theoretic Tools and Techniques

Brief Introduction to Continuous Evolutionary Optimization

Interpretability of Computational Intelligence-Based Regression Models