Artificial Intelligence

Papers
(The median citation count of Artificial Intelligence is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-11-01 to 2025-11-01.)
ArticleCitations
Online learning in sequential Bayesian persuasion: Handling unknown priors209
Knowledge-driven profile dynamics184
A computational model of Ostrom's Institutional Analysis and Development framework152
Primarily about primaries97
Transfer learning for collaborative recommendation with biased and unbiased data88
Polynomial combined first-order rewritings for linear and guarded existential rules84
Diagnosis of intermittent faults in Multi-Agent Systems: An SFL approach79
Iterative voting with partial preferences71
Drawing a map of elections58
Editorial Board57
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error54
Mitigating robust overfitting via self-residual-calibration regularization54
Accurate parameter estimation for safety-critical systems with unmodeled dynamics53
Fair allocation of indivisible goods: Beyond additive valuations52
The distortion of distributed metric social choice52
An efficient algorithm for counting Markov equivalent DAGs52
Manipulation and peer mechanisms: A survey50
Hyper-heuristics for personnel scheduling domains44
An α-regret analysis of adversarial bilateral trade43
Weighted EF1 allocations for indivisible chores41
Estimating possible causal effects with latent variables via adjustment and novel rule orientation41
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control40
No free lunch theorem for privacy-preserving LLM inference40
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems36
Defense coordination in security games: Equilibrium analysis and mechanism design35
Learning MAX-SAT from contextual examples for combinatorial optimisation34
SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes33
Epistemic planning: Perspectives on the special issue33
CBS-Budget (CBSB): A complete and bounded suboptimal search for multi-agent path finding32
Approximate weighted model integration on DNF structures31
Editorial Board31
The complexity landscape of claim-augmented argumentation frameworks31
Corrigendum to “Accurate parameter estimation for safety-critical systems with unmodeled dynamics” [Artif. Intell. 316 (2023) 103857]30
Editorial Board30
A complete classification of the complexity and rewritability of ontology-mediated queries based on the description logic 27
Introduction to open-world AI26
Learning optimal contracts with small action spaces25
Spectral clustering with robust self-learning constraints25
End-to-end neural event coreference resolution23
Editorial Board22
CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction22
Editorial Board22
Certified reinforcement learning with logic guidance22
Editorial Board21
From statistical relational to neurosymbolic artificial intelligence: A survey21
Propositional and predicate logics of incomplete information21
Temporal inductive path neural network for temporal knowledge graph reasoning21
Integrating symbolic reasoning into neural generative models for design generation20
Editorial Board20
Editorial Board20
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games20
Acquiring and modeling abstract commonsense knowledge via conceptualization20
Atlas of AI – Book review19
Is it possible to find the single nearest neighbor of a query in high dimensions?19
Unsupervised sentence selection for creating a representative corpus in Turkish: An active learning approach19
Sequential model-based diagnosis by systematic search19
A multi-graph representation for event extraction19
On the disjunctive rational closure of a conditional knowledge base18
Logical separability of labeled data examples under ontologies18
Exploratory machine learning with unknown unknowns18
Self-adjusting offspring population sizes outperform fixed parameters on the cliff function18
Editorial Board17
Lifted action models learning from partial traces17
Approximating problems in abstract argumentation with graph convolutional networks17
Emotional conversation generation with heterogeneous graph neural network16
The notion of Abstraction in Ontology-based Data Management16
Abstracting situation calculus action theories16
An abstract and structured account of dialectical argument strength15
Syntactic ASP forgetting with forks15
Multi-view graph convolutional networks with attention mechanism15
Functional Relation Field: A Model-Agnostic Framework for Multivariate Time Series Forecasting15
Temporal logic explanations for dynamic decision systems using anchors and Monte Carlo Tree Search14
Gradient-based mixed planning with symbolic and numeric action parameters14
A claim-centric perspective on abstract argumentation semantics: Claim-defeat, principles, and expressiveness14
Committing to correlated strategies with multiple leaders14
Editorial Board14
Logic Tensor Networks13
Editorial Board13
Privacy-preserving graph convolution network for federated item recommendation13
Editorial Board13
Coalitional permutation manipulations in the Gale-Shapley algorithm12
Argus: Programming with communication protocols in a belief-desire-intention architecture12
Risk-aware controller for autonomous vehicles using model-based collision prediction and reinforcement learning12
Editorial Board12
Safe, learning-based MPC for highway driving under lane-change uncertainty: A distributionally robust approach12
Reward-respecting subtasks for model-based reinforcement learning12
Pessimistic value iteration for multi-task data sharing in Offline Reinforcement Learning12
Corrigendum to “Learning constraints through partial queries” [Artificial Intelligence 319 (2023) 103896]12
(Re)Conceptualizing trustworthy AI: A foundation for change11
Matching papers and reviewers at large conferences11
The influence of dimensions on the complexity of computing decision trees11
Reinforcement learning in convergently non-stationary environments: Feudal hierarchies and learned representations11
Discrete preference games with logic-based agents: Formal framework, complexity, and islands of tractability11
Adversarial analysis of similarity-based sign prediction11
Investigating the properties of neural network representations in reinforcement learning10
Optimizing the computation of overriding in DL<10
Credulous acceptance in high-order argumentation frameworks with necessities: An incremental approach10
A framework for step-wise explaining how to solve constraint satisfaction problems10
Almost proportional allocations of indivisible chores: Computation, approximation and efficiency10
On measuring inconsistency in graph databases with regular path constraints10
Fine-tuning transformers: Vocabulary transfer10
Adversarially robust unsupervised domain adaptation10
Improved metric distortion via threshold approvals10
On the design of truthful mechanisms for the capacitated facility location problem with two and more facilities10
Editorial Board10
DEED: DEep Evidential Doctor10
Integrating multi-armed bandit with local search for MaxSAT10
Maximum Likelihood Evidential Reasoning10
Budget-feasible mechanisms for proportionally selecting agents from groups9
Taking into account “who said what” in abstract argumentation: Complexity results9
Evolving interpretable decision trees for reinforcement learning9
The complexity of optimizing atomic congestion9
A polynomial reduction of forks into logic programs9
FedHM: Efficient federated learning for heterogeneous models via low-rank factorization9
Generative models for grid-based and image-based pathfinding9
Search-engine-augmented dialogue response generation with cheaply supervised query production9
On the computation of mixed strategies for security games with general defending requirements8
Saliency-aware regularized graph neural network8
A tetrachotomy of ontology-mediated queries with a covering axiom8
Multi resource allocation with partial preferences8
Picking sequences and monotonicity in weighted fair division8
Knowledge-based strategies for multi-agent teams playing against Nature8
Learning a fast 3D spectral approach to object segmentation and tracking over space and time8
Reward (Mis)design for autonomous driving8
Sound and relatively complete belief Hoare logic for statistical hypothesis testing programs8
Entropy estimation via uniformization8
Integration of memory systems supporting non-symbolic representations in an architecture for lifelong development of artificial agents8
Truthful aggregation of budget proposals with proportionality guarantees8
Natural language watermarking via paraphraser-based lexical substitution8
AI-driven transcriptome profile-guided hit molecule generation8
Editorial Board8
Bisimulation between base argumentation and premise-conclusion argumentation8
Non-deterministic approximation fixpoint theory and its application in disjunctive logic programming8
A general framework for preferences in answer set programming7
Online joint bid/daily budget optimization of Internet advertising campaigns7
Hierarchical clustering optimizes the tradeoff between compositionality and expressivity of task structures for flexible reinforcement learning7
Active legibility in multiagent reinforcement learning7
Bayesian auctions with efficient queries7
Data-informed knowledge and strategies7
Class fairness in online matching7
Relaxed core stability in hedonic games7
Editorial Board7
Privacy preserving solution of DCOPs by mediation7
Adaptive large-neighbourhood search for optimisation in answer-set programming7
A neurosymbolic cognitive architecture framework for handling novelties in open worlds7
Sound and complete causal identification with latent variables given local background knowledge7
Advanced algorithms for abstract dialectical frameworks based on complexity analysis of subclasses and SAT solving6
Addressing maximization bias in reinforcement learning with two-sample testing6
Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning6
Local-MIP: Efficient local search for mixed integer programming6
Editorial Board6
Counterfactuals as modal conditionals, and their probability6
Towards well-generalizing meta-learning via adversarial task augmentation6
Editorial Board6
VoCSK: Verb-oriented commonsense knowledge mining with taxonomy-guided induction6
Choice logics and their computational properties6
Negotiation strategies for agents with ordinal preferences: Theoretical analysis and human study6
Are the BERT family zero-shot learners? A study on their potential and limitations6
Analyzing generalized planning under nondeterminism6
Editorial Board6
A crossword solving system based on Monte Carlo tree search6
Editorial Board6
IID prophet inequality with a single data point6
EMOA*: A framework for search-based multi-objective path planning6
Minimax off-policy evaluation and learning with subgaussian and differentiable importance weighting6
Abstraction for non-ground answer set programs6
A note on incorrect inferences in non-binary qualitative probabilistic networks6
A theory of synaptic neural balance: From local to global order6
Bridging theory and practice in bidirectional heuristic search with front-to-end consistent heuristics6
A differentiable first-order rule learner for inductive logic programming6
A counter abstraction technique for verifying properties of probabilistic swarm systems6
Editorial Board6
Neural large neighborhood search for routing problems6
Logic Explained Networks6
Characterising harmful data sources when constructing multi-fidelity surrogate models6
Knowledge-based programs as building blocks for planning5
Syntactic reasoning with conditional probabilities in deductive argumentation5
Q-Learning-based model predictive variable impedance control for physical human-robot collaboration5
Situated conditional reasoning5
Risk-averse policy optimization via risk-neutral policy optimization5
DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction5
Inhomogeneous deep Q-network for time sensitive applications5
Treewidth-aware reductions of normal ASP to SAT – Is normal ASP harder than SAT after all?5
Schelling games on graphs5
On Pareto optimality in social distance games5
Editorial Board5
Lifted inference with tree axioms5
A conflict-directed approach to chance-constrained mixed logical linear programming5
Simple and efficient bi-objective search algorithms via fast dominance checks5
Strategyproof Allocation Mechanisms with Endowments and M-convex Distributional Constraints5
Editorial Board5
GUBS criterion: Arbitrary trade-offs between cost and probability-to-goal in stochastic planning based on Expected Utility Theory5
Pre-training and diagnosing knowledge base completion models5
A general multi-agent epistemic planner based on higher-order belief change5
Using state abstractions to compute personalized contrastive explanations for AI agent behavior4
NT-FAN: A simple yet effective noise-tolerant few-shot adaptation network4
Bayesian feature interaction selection for factorization machines4
A domain-independent agent architecture for adaptive operation in evolving open worlds4
Strategyproof mechanisms for Friends and Enemies Games4
AI Journal Special Issue on Ethics for Autonomous Systems4
Axiomatic characterization of PageRank4
AutoSTG+: An automatic framework to discover the optimal network for spatio-temporal graph prediction4
TTVAE: Transformer-based generative modeling for tabular data generation4
Explainable AI and stakes in medicine: A user study4
Factored-reward bandits with intermediate observations: Regret minimization and best arm identification4
ICCMA 2023: 5th International Competition on Computational Models of Argumentation4
Learngene: Inheritable “genes” in intelligent agents4
Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks4
TEAMSTER: Model-based reinforcement learning for ad hoc teamwork4
Editorial Board4
An anytime algorithm for constrained stochastic shortest path problems with deterministic policies4
An extended view on lifting Gaussian Bayesian networks4
Learning infinite-word automata with loop-index queries4
Hybrid planning for challenging construction problems: An Answer Set Programming approach4
Reasoning about causality in games4
LMMS reloaded: Transformer-based sense embeddings for disambiguation and beyond4
A false sense of security4
Editorial Board4
How to find a good explanation for clustering?4
Deep optimal transport for domain adaptation on SPD manifolds4
A stochastic process approach for multi-agent path finding with non-asymptotic performance guarantees4
Editorial Board4
Automated streamliner portfolios for constraint satisfaction problems4
Approximately EFX allocations for indivisible chores4
Probabilistic reach-avoid for Bayesian neural networks4
Improved maximin guarantees for subadditive and fractionally subadditive fair allocation problem4
Memory-limited model-based diagnosis4
A simple yet effective self-debiasing framework for transformer models4
Sample-based bounds for coherent risk measures: Applications to policy synthesis and verification3
Task-guided IRL in POMDPs that scales3
An abstraction-refinement framework for verifying strategic properties in multi-agent systems with imperfect information3
On trivalent logics, probabilistic weak deduction theorems, and a general import-export principle3
Measuring power in coalitional games with friends, enemies and allies3
Editorial Board3
Certifiably robust interpretation via Rényi differential privacy3
Grounded predictions of teamwork as a one-shot game: A multiagent multi-armed bandits approach3
ASP and subset minimality: Enumeration, cautious reasoning and MUSes3
Controlled query evaluation in description logics through consistent query answering3
Explain it as simple as possible, but no simpler – Explanation via model simplification for addressing inferential gap3
Choosing abstraction levels for model-based software debugging: A theoretical and empirical analysis for spreadsheet programs3
Editorial Board3
Globalizing constraint models3
G-LIME: Statistical learning for local interpretations of deep neural network3
An improved approximation algorithm for maximin shares3
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events3
Social behavior as a key to learning-based multi-agent pathfinding dilemmas3
Enhancing cooperativity in controlled query evaluation over ontologies3
Generalized planning as heuristic search: A new planning search-space that leverages pointers over objects3
Interpretation modeling: Social grounding of sentences by reasoning over their implicit moral judgments3
Probabilistic modelling of general noisy multi-manifold data sets3
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