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Decision Making is a complex task that involves analyzing data (of different level of abstraction) from disparate sources and with different levels of certainty, merging the information by weighing in on some data source more than other, and arriving at a conclusion by exploring all possible alternatives.

Source: Complex Events Recognition under Uncertainty in a Sensor Network

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Latest papers without code

Fast constraint satisfaction problem and learning-based algorithm for solving Minesweeper

10 May 2021

Results from these experiments show that the proposed method of MDP based classification model and deep Q-learning overall is the best methods in terms of accuracy for games with given mine densities.

DECISION MAKING Q-LEARNING

Loss-Aversively Fair Classification

10 May 2021

Motivated by extensive literature in behavioral economics and behavioral psychology (prospect theory), we propose a notion of fair updates that we refer to as loss-averse updates.

DECISION MAKING FAIRNESS GENERAL CLASSIFICATION

Accounting for Model Uncertainty in Algorithmic Discrimination

10 May 2021

We further propose methods to achieve our goal of equalizing group error rates arising due to model uncertainty in algorithmic decision making and demonstrate the effectiveness of these methods using synthetic and real-world datasets.

DECISION MAKING FAIRNESS

Interaction Theory of Hazard-Target System

10 May 2021

In order to solve the issues that current accident analysis methods still face, we proposed a new systemic accident analysis method based on ITHTS and STPA.

DECISION MAKING

Impacts of Privately Owned Electric Vehicles on Distribution System Resilience: A Multi-agent Optimization Approach

9 May 2021

We investigate the effects of private electric vehicles (EVs) on the resilience of distribution systems after disruptions.

DECISION MAKING

Protecting Individual Interests across Clusters: Spectral Clustering with Guarantees

8 May 2021

Motivated by this, we propose an individual fairness criterion for clustering a graph $\mathcal{G}$ that requires each cluster to contain an adequate number of members connected to the individual under a representation graph $\mathcal{R}$.

DECISION MAKING FAIRNESS

MCTG:Multi-frequency continuous-share trading algorithm with GARCH based on deep reinforcement learning

8 May 2021

Making profits in stock market is a challenging task for both professional institutional investors and individual traders.

DECISION MAKING

Dynamic Choices and Common Learning

8 May 2021

A researcher observes a finite sequence of choices made by multiple agents in a binary-state environment.

DECISION MAKING

Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence

7 May 2021

Accelerating Entrepreneurial Decision-Making Through Hybrid Intelligence DESIGN PARADIGMS AND PRINCIPLES FOR DECISIONAL GUIDANCE IN ENTREPRENEURSHIP

DECISION MAKING

Design principles for a hybrid intelligence decision support system for business model validation

7 May 2021

However, previous work on decisional guidance for business model validation provides no solution for the highly uncertain and complex context of earlystage startups.

DECISION MAKING