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AI4SG Literature Dataset
A dataset of 1176 papers from the AAAI, IJCAI, IAAI, AAMAS, KDD, and COMPASS conferences from the years 2008-2019, to analyze the trend of AI4SG research. -
Ten standard datasets
The authors used ten standard datasets, including Abalone, Car, Chess, Glass, Ionosphere, Iris, Liver, Redwine, Seeds, and Divorce. -
XOR dataset
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a toy example (XOR problem) and ten standard datasets. -
RAIR Lab Dataset
The dataset used in the research paper on building directly upon longstanding, prior r&d in AI/machine ethics to attempt to make real the blue-sky idea of AI that can thwart... -
Human-AI Synergy Dataset
This dataset contains the results of over 100 recent experimental studies reporting over 300 effect sizes. -
SP Theory of Intelligence
The SP system has potential for substantial additional economies in the transmission of data (via the separation of encoding from grammar), and for substantial gains in... -
Learning Generalized Policy Automata for Relational Stochastic Shortest Path ...
The dataset used in this paper is a set of small SSP instances with small object counts, used to learn Generalized Policy Automata (GPAs) for solving larger related SSPs. -
Automated Reasoning about Cyber Response (ARCR)
A dataset for automated cyber response, combining a simulation of the system to be defended with an anytime online planner to solve cyber defense problems as partially... -
Automated Cyber Response
A dataset for automated cyber response, combining a simulation of the system to be defended with an anytime online planner to solve cyber defense problems as partially... -
Team-in-the-loop - organisational oversight of high-stakes AI
The dataset used in this paper is a collection of clinical decision-making data, including patient information, treatment plans, and outcomes. -
Single Deep CFR
Single Deep CFR (SD-CFR) is a variant of Deep CFR that has a lower overall approximation error by avoiding the training of an average strategy network. -
Not specified
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a combination of datasets from the scikit-learn library and the UCI machine... -
Federated Learning for Internet of Things
The Internet of Things (IoT) is penetrating many facets of our daily life with the proliferation of intelligent services and applications empowered by artificial intelligence... -
Computability-Logic-Web (CL9-web) model
The dataset is used to demonstrate the capabilities of the Computability-Logic-Web (CL9-web) model, which is a web extension to the Computability Logic (CoL) model. The dataset... -
Bayesian Prediction for Artificial Intelligence
The dataset used in the paper is a collection of data for Bayesian prediction in artificial intelligence. -
Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-Based Distributed Deep ...
The dataset used in this paper is a collection of deep learning models, where each model is trained on a specific problem and evaluated on a validation set. -
Dou Shou Qi
Dou Shou Qi game, including rules, pieces, and game tree search algorithm -
Endgame Analysis of Dou Shou Qi
Endgame tablebases for Dou Shou Qi game, including two-piece endgame tablebases represented as decision trees -
BabyAI levels
The BabyAI levels dataset is a collection of levels with increasing degrees of complexity, where agents need to solve tasks in a simulated environment.