Modeling Decisions for Artificial Intelligence : 20th International Conference, MDAI 2023, Umeå, Sweden, June 19–22, 2023, Proceedings / edited by Vicenç Torra, Yasuo Narukawa.

Format:

Book

Contributor:

Torra, Vicenç, editor.

Narukawa, Yasuo, editor.

Series:

Lecture Notes in Artificial Intelligence, 2945-9141 ; 13890

Language:

English

Subjects (All):

Artificial intelligence.

Artificial Intelligence.

Local Subjects:

Artificial Intelligence.

Physical Description:

1 online resource (274 pages)

Edition:

1st ed. 2023.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

Summary:

This book constitutes the refereed proceedings of the 20th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2023, held in Umeå, Sweden, during June19–22,2023. The 17 papers presented in this volume were carefully reviewed and selected from 28 submissions. Additionally, 1 invited paper were included. The papers discuss different facets of decision processes in a broad sense and present research in data science, data privacy, aggregation functions, human decision making, graphs and social networks, and recommendation and search. The papers are organized in the following topical sections: Decision making and uncertainty; Machine Learning and data science; and Data privacy.

Contents:

Logic Aggregators and Their Implementations

Decision making and uncertainty

Multi-Target Decision Making under Conditions of Severe Uncertainty

Constructive set function and extraction of a k-dimensional element

Coherent upper conditional previsions defined by fractal outer measures to represent the unconscious activity of human brain

Discrete chain-based Choquet-like operators

On a new generalization of decomposition integrals

Bipolar OWA operators with continuous input function

Machine Learning and data science

Cost-constrained group feature selection using information theory

Conformal Prediction for Accuracy Guarantees in Classification with Reject Option

Adapting the Gini's index for solving Predictive Tasks

Bayesian logistic model for positive and unlabeled data

A goal-oriented specification language for reinforcement learning

Improved Spectral Norm Regularization for NeuralNetworks

Preprocessing Matters: Automated Pipeline Selection for Fair Classification

Predicting Next Whereabouts using Deep Learning

A Generalization of Fuzzy c-Means with Variables Controlling Cluster Size

Data privacy

Local Differential Privacy Protocol for Making Key{Value Data Robust against Poisoning Attacks

Differential Privacy through Noise-Graph Addition.

Notes:

Includes bibliographical references and index.

Other Format:

Print version: Torra, Vicenç Modeling Decisions for Artificial Intelligence

ISBN:

9783031334986

OCLC:

1379804810