csAI Archives - Newsemia

Using simulation to incorporate dynamic criteria into multiple criteria decision-making. (arXiv:2011.09891v1 [cs.AI])

NewsemiaNovember 22, 2020

by NewsemiaNovember 22, 2020019

In this paper, we present a case study demonstrating how dynamic and uncertain criteria can be incorporated into a multicriteria analysis with the help of...

AI/ML

Uncertainty measures for probabilistic hesitant fuzzy sets in multiple criteria decision making. (arXiv:2011.08182v1 [cs.AI])

NewsemiaNovember 18, 2020

by NewsemiaNovember 18, 2020020

This contribution reviews critically the existing entropy measures for probabilistic hesitant fuzzy sets (PHFSs), and demonstrates that these entropy measures fail to effectively distinguish a...

AI/ML

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems. (arXiv:1912.10762v2 [cs.AI] UPDATED)

NewsemiaNovember 15, 2020

by NewsemiaNovember 15, 2020025

Backtracking search algorithms are often used to solve the Constraint Satisfaction Problem (CSP). The efficiency of backtracking search depends greatly on the variable ordering heuristics....

AI/ML

Multi-type Resource Allocation with Partial Preferences. (arXiv:1906.06836v3 [cs.AI] UPDATED)

NewsemiaOctober 30, 2020

by NewsemiaOctober 30, 2020013

We propose multi-type probabilistic serial (MPS) and multi-type random priority (MRP) as extensions of the well known PS and RP mechanisms to the multi-type resource...

AI/ML

Proceedings 9th International Workshop on Theorem Proving Components for Educational Software. (arXiv:2010.15832v1 [cs.AI])

NewsemiaOctober 30, 2020

by NewsemiaOctober 30, 202008

The 9th International Workshop on Theorem-Proving Components for Educational Software (ThEdu’20) was scheduled to happen on June 29 as a satellite of the IJCAR-FSCD 2020...

AI/ML

Algorithm for inferring multiple microbial networks. (arXiv:2010.05909v1 [cs.AI])

NewsemiaOctober 14, 2020

by NewsemiaOctober 14, 202006

The interactions among the constituent members of a microbial community play a major role in determining the overall behavior of the community and the abundance...

AI/ML

A Note on Rich Incomplete Argumentation Frameworks. (arXiv:2009.04869v1 [cs.AI])

NewsemiaSeptember 11, 2020

by NewsemiaSeptember 11, 202008

Recently, qualitative uncertainty in abstract argumentation has received much attention. The first works on this topic introduced uncertainty about the presence of attacks, then about...

AI/ML

Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems. (arXiv:2009.01953v1 [cs.AI])

NewsemiaSeptember 7, 2020

by NewsemiaSeptember 7, 2020012

A few Recommender Systems (RS) resort to explanations so as to enhance trust in recommendations. However, current techniques for explanation generation tend to strongly uphold...

AI/ML

Blind Spots in AI Ethics and Biases in AI governance. (arXiv:2007.04477v5 [cs.AI] UPDATED)

NewsemiaAugust 29, 2020

by NewsemiaAugust 29, 202007

There is an interesting link between critical theory and certain genres of literature that may be of interest to the current debate on AI ethics....

AI/ML

A Three-Stage Algorithm for the Large Scale Dynamic Vehicle Routing Problem with an Industry 4.0 Approach. (arXiv:2008.11719v1 [cs.AI])

NewsemiaAugust 28, 2020

by NewsemiaAugust 28, 2020016

Industry 4.0 is a concept which helps companies to have a smart supply chain system when they are faced with a dynamic process. As Industry...

AI/ML

Commonsense Knowledge in Wikidata. (arXiv:2008.08114v1 [cs.AI])

NewsemiaAugust 20, 2020

by NewsemiaAugust 20, 2020010

Wikidata and Wikipedia have been proven useful for reason-ing in natural language applications, like question answering or entitylinking. Yet, no existing work has studied the...

AI/ML

The Chess Transformer: Mastering Play using Generative Language Models. (arXiv:2008.04057v3 [cs.AI] UPDATED)

NewsemiaAugust 16, 2020

by NewsemiaAugust 16, 2020026

This work demonstrates that natural language transformers can support more generic strategic modeling, particularly for text-archived games. In addition to learning natural language skills, the...

AI/ML

Navigating Language Models with Synthetic Agents. (arXiv:2008.04162v3 [cs.AI] UPDATED)

NewsemiaAugust 16, 2020

by NewsemiaAugust 16, 2020011

Modern natural language models such as the GPT-2/GPT-3 contain tremendous amounts of information about human belief in a consistently interrogatable form. If these models could...

AI/ML

Unlocking the Potential of Deep Counterfactual Value Networks. (arXiv:2007.10442v1 [cs.AI])

NewsemiaJuly 22, 2020

by NewsemiaJuly 22, 2020011

Deep counterfactual value networks combined with continual resolving provide a way to conduct depth-limited search in imperfect-information games. However, since their introduction in the DeepStack...

AI/ML

Phase Transition Behavior in Knowledge Compilation. (arXiv:2007.10400v1 [cs.AI])

NewsemiaJuly 22, 2020

by NewsemiaJuly 22, 2020011

The study of phase transition behaviour in SAT has led to deeper understanding and algorithmic improvements of modern SAT solvers. Motivated by these prior studies...

AI/ML

Object Tracking by Least Spatiotemporal Searches. (arXiv:2007.09288v1 [cs.AI])

NewsemiaJuly 21, 2020

by NewsemiaJuly 21, 202008

Tracking a car or a person in a city is crucial for urban safety management. How can we complete the task with minimal number of...

AI/ML

OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge Graphs. (arXiv:2007.09206v1 [cs.AI])

NewsemiaJuly 21, 2020

by NewsemiaJuly 21, 2020018

In recent years, Semantic Web technologies have been increasingly adopted by researchers, industry and public institutions to describe and link data on the Web, create...

AI/ML

WordCraft: An Environment for Benchmarking Commonsense Agents. (arXiv:2007.09185v1 [cs.AI])

NewsemiaJuly 21, 2020

by NewsemiaJuly 21, 2020015

The ability to quickly solve a wide range of real-world tasks requires a commonsense understanding of the world. Yet, how to best extract such knowledge...

AI/ML

Enabling Morally Sensitive Robotic Clarification Requests. (arXiv:2007.08670v1 [cs.AI])

NewsemiaJuly 20, 2020

by NewsemiaJuly 20, 202006

The design of current natural language oriented robot architectures enables certain architectural components to circumvent moral reasoning capabilities. One example of this is reflexive generation...

AI/ML

Modified Possibilistic Fuzzy C-Means Algorithm for Clustering Incomplete Data Sets. (arXiv:2007.04908v2 [cs.AI] UPDATED)

NewsemiaJuly 19, 2020

by NewsemiaJuly 19, 202008

Possibilistic fuzzy c-means (PFCM) algorithm is a reliable algorithm has been proposed to deal the weakness of two popular algorithms for clustering, fuzzy c-means (FCM)...