yusuke1997/dblp-id-title huggingface dataset:
Abduction, experience, and goals: a model of everyday abductive explanation
Towards structure discovering in video data
Confusion, social knowledge and the design of intelligent machines
Studying properties of classes of default logics
A new fitness function in genetic programming for classification of imbalanced data
Control of an automated mobile manipulator using artificial immune system
A hybrid heuristic workflow scheduling algorithm for cloud computing environments
Ground-level ozone predictions using outlier identification leveraged sample weighted regressors
Knowing life: possible solutions to the practical epistemological limits in the study of artificial life
Handling structured and ambiguous constraints in constraint satisfaction problems
Double-quantitative decision rough set over two universes and application to African swine fever decision-making
Mathematical modelling and analysis of generalised interline power flow controller: an effect of converter location
An approach to the language discrimination in different scripts using adjacent local binary pattern
Concept lattice based composite classifiers for high predictability
A comprehensive review of moth-flame optimisation: variants, hybrids, and applications
Sentiment classification of online reviews: using sentence-based language model
Evolutionary gravitational neocognitron neural network based block chain technology for a secured dynamic optimal routing in wireless sensor networks
A Blackboard-style decision-making system for multi-tier craft control and its evaluation
Time series regression-based pairs trading in the Korean equities market
High-definition map update framework for intelligent autonomous transfer vehicles
Reproducible research: a minority opinion
Representing reified relations in Loom
A shortlist-based bidirectional local search for the stable marriage problem
Investigating the effect of training-testing data stratification on the performance of soft computing techniques: an experimental study
Re-representation in comparison: building an empirical case
Bayesian network classifiers for probability-based metrics
LBO-MPAM: Ladybug Beetle Optimization-based multilayer perceptron attention module for segmenting the skin lesion and automatic localization
Adaptive-predictive game-playing programs
Negotiation in a non-cooperative environment
Method of intelligent support of decision-making at dispatching the geospatial processes
Towards a paradigm shift in belief representation methodology
The implications of advances in research on motivation for cognitive models
The fuzzification issue in the Wu-Mendel approach for linguistic summarisation using IF-THEN rules
Representational content in humans and machines
Privacy preservation and authentication on secure geographical routing in VANET
Probabilistic self-localisation on a qualitative map based on occlusions
A Novel Multispectral Maritime Target classification based on ThermalGAN (RGB-to-Thermal Image Translation)
Comparing performance of algorithms for generating concept lattices
A new approach to applicable memory-based reasoning
Underconstrained knowledge-intensive constraint satisfaction search
The observer's observer's paradox
Energy analysis for an executable program on a single computer based on BP neural network
Tracking feature extraction based on manifold learning framework
A modular translation from defeasible nets to defeasible logics
AuRA: principles and practice in review
Another look at the phenomenon of phase transition
Default logic and specification of nonmonotonic reasoning
Cascade heterogeneous face sketch-photo synthesis via dual-scale Markov Network
Neural networks with dimensionality reduction for efficient springback prediction in deep drawing of multi-material cylindrical cups
Evolutionary multi-objective customer segmentation approach based on descriptive and predictive behaviour of customers: application to the banking sector
Differential evolution combined with clonal selection for dynamic economic dispatch
A note on achieving low-level rationality from pure reactivity
A novel metaheuristic global optimisation method based on grey wolf optimiser and salp swarm algorithm
Population subset selection for the use of a validation dataset for overfitting control in genetic programming
KreolStem: A hybrid language-dependent stemmer for Kreol Morisien
A human fall detection framework based on multi-camera fusion
No-wait two stage hybrid flow shop scheduling with genetic and adaptive imperialist competitive algorithms
The functions of finite support: a canonical learning problem
AI personalities: clues from animal research
Engineered wisdom for learning machines
Coordination and control structures and processes: possibilities for connectionist networks (CN)
Solipsism, individualism and cognitive science
Coupling Gaussian generalised regression neural network and mutable smart bee algorithm to analyse the characteristics of automotive engine coldstart hydrocarbon emission
A domain-specific software architecture for a class of intelligent patient monitoring agents
Philosophical reflections on diagram models and diagrammatic representation
Video Summarization using Deep Convolutional Neural Networks and Mutual Probability-based K-Nearest Neighbour
Reply to commentaries on 'problem-solving architecture at the knowledge level'
Semantical considerations on intention dynamics for BDI agents
Weighted average of one-dependence estimators†
Parallel planning via the distribution of operators
The graph of a boolean function
Studying human expertise: Beyond the binary paradigm
Catalysing assistive solutions by deploying light-weight deep learning model on edge devices
Robustness of decentralized knowledge systems: a grammar-theoretic view
Compressed pseudo-lattices
Practical abduction: characterization, decomposition and concurrency
How we learn about things we don't already understand
Unifying time and uncertainty for diagnosis
Reinforcement with iterative punishment
Determining context of association rules by using machine learning
Radio galaxies classification system using machine learning techniques in the IoT Era
Machine translation model for effective translation of Hindi poetries into English
Natural human role in supervising complex control systems
Naive Bayes text classifiers: a locally weighted learning approach
Learning linear non-Gaussian networks: A new view from matrix identification
Communicative bottlenecks lead to maximal information transfer
Sensor fusion in the epistemic situation calculus
The campfire storytelling system - automatic creation and modification of a narrative
A shrinking hypersphere PSO for engineering optimisation problems
Absolute order-of-magnitude reasoning applied to a social multi-criteria evaluation framework
On the performance of new local search heuristics for annual crop planning: case study of the Vaalharts irrigation scheme
The pathology of heuristic search in the 8-puzzle
Towards compatible primitive structures
Hidden Markov random field model and Broyden-Fletcher-Goldfarb-Shanno algorithm for brain image segmentation
Strategic best-response learning in multiagent systems
Application of Artificial Intelligence on Post Pandemic Situation and Lesson Learn for Future Prospects
Argumentation through a distributed self-stabilizing approach
Modelling social norms in multiagent systems
Possibility-induced simplified neutrosophic aggregation operators and their application to multi-criteria group decision-making
An improved invasive weed optimization algorithm for solving dynamic economic dispatch problems with valve-point effects
Joint extraction of entities and relations based on character graph convolutional network and Multi-Head Self-Attention Mechanism
Supervenient hierarchies of behaviours-from robot vacuuming to space telerobotics
Punctuation and extrapolation: representing a subsurface oil reservoir
A hybrid model for indexical use in natural language
Online/offline evolutionary algorithms for dynamic urban green space allocation problems
Yet more planning efficiency: Finite-domain state-variable reformulation
Relating only knowing to minimal belief and negation as failure
SAL: an explicitly pluralistic cognitive architecture
Reinforcement learning via approximation of the Q-function
Maclaurin symmetric mean operators of linguistic intuitionistic fuzzy numbers and their application to multiple-attribute decision-making
On designing a visual system (Towards a Gibsonian computational model of vision)
The case against AI from imagistic expertise
Learning communicative actions of conflicting human agents
Introduction to the special issue on memory-based language processing
Reference and intensions
Complexity studies of a temporal constraint propagation algorithm: a statistical analysis
Optimization enabled deep learning method in container-based architecture of hybrid cloud for portability and interoperability-based application migration
Pre-emptive versus non-pre-emptive real time scheduling in intelligent mobile robotics
Linear quadratic optimal control problem with fuzzy variables via neural network
Learning Attribute-guided Fashion Similarity with Spatial and Channel Attention
Limitations and risks of machine ethics
Logical foundations for representing object-oriented systems
Evaluating success in autonomous multi-robot teams: experiences from ALLIANCE architecture implementations
Mind and paradox: paradoxes depend on minds
Evaluation of texture features for automatic detecting butterfly species using extreme learning machine
Modelling and experimental performance analysis of solar-assisted ground source heat pump system
An Optimisation driven Deep Residual Network for Sybil attack detection with reputation and trust-based misbehaviour detection in VANET
Design of water distribution networks using accelerated momentum particle swarm optimisation technique
Meta itemset: a new concise representation of frequent itemset
A case study in the mechanical verification of fault tolerance
Cognitive task analysis: a proposal to model reactive behaviours
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Handling noise in EBL: an abductive approach
Robotics and artificial intelligence
The optimal level of fuzz: case studies in a methodology for psychological research
Planning under uncertainty as Golog programs
The paradox of observation and the observation of paradox
Producing mind
A non-reduced order approach to stability analysis of delayed inertial genetic regulatory networks
Enhancing the performance of MOEAs: an experimental presentation of a new fitness guided mutation operator
Evaluating robustness in a two layer simulated robot architecture
Transcending the meat: immersive technologies and computer mediated bodies
A novel plant leaf disease detection by adaptive fuzzy C-Means clustering with deep neural network
Co-operation of syntax and semantics in flexive languages
A possibilistic defeasible logic programming approach to argumentation-based decision-making
Combining bounded solving and controllable randomization for approximate model counting
Inspirational anchors: minimal computational models in cognitive science
Peeking behind the screen: the unsuspected power of the standard Turing Test
A data-driven predictive system using Case-Based Reasoning for the configuration of device-assisted back pain therapy
A note on the cumulativity of justified default logic
Is the connectionist-logicist clash one of AI's wonderful red herrings?
Computer-aided COVID-19 diagnosis: a possibility?
A framework for the analysis and synthesis of Swarm Intelligence algorithms
The importance of cognitive architectures: an analysis based on CLARION
The recognition and classification of concepts in understanding scientific texts
Anytime coalition structure generation: an average case study
Performance evaluation of fuzzy clustered case-based reasoning
Using analogical model formulation with sketches to solve Bennett Mechanical Comprehension Test problems
Live multilingual thinking machine
Heuristic improvement through triangulation
A cognitive neuroscience, dual-systems approach to the sorites paradox
Emergent songs by social robots
Are AI and mechanics empirical disciplines?
A case study in the meta-reasoning procedure ND
Existence and global exponential stability of anti-periodic solutions for generalised inertial competitive neural networks with time-varying delays
Introspective reasoning for index refinement in case-based reasoning
Can machines think? A report on Turing test experiments at the Royal Society
An extensible circuit-based SAT solver
An empirical evaluation of text representation schemes to filter the social media stream
Human reasoning is heterogeneous - as Jon Barwise informed us
The possibility of a pluralist cognitive science
Pluralism, relativism and the proper use of theories
Deep asset allocation for trend following investing
An imperialist competitive algorithm for virtual machine placement in cloud computing
An emergent approach to systems of physical agents
Deep CNN feature fusion with manifold learning and regression for pixel classification in HSI images
Learning from unbalanced catastrophic out-of-pocket health expenditure dataset: blending SMOTE-boosting with ensemble models
Concepts: Fodor's little semantic BBs of thought A critical look at Fodor's theory of concepts
ICE matching, robust and fast feature-based scan matching for an online operation
Pseudo almost periodic solutions for neutral type SICNNs with D operator
Considering direct interaction of artificial ant colony foraging simulation and animation
An algorithm for discovering the frequent closed itemsets in a large database
GENITOR II: a distributed genetic algorithm
Emotion recognition in election day tweets using optimised kernel extreme learning machine classifier
A novel global Harmony Search method based on Ant Colony Optimisation algorithm
Designing (artificial) people to serve - the other side of the coin
New Cellular Learning Automata as a framework for online link prediction problem
Intentionality and computationalism: minds, machines, Searle and Harnad
Multi-attribute strict two-sided matching methods with interval-valued preference ordinal information
Block pruning residual networks using Multi-Armed Bandits
The power of probabilism in Popperian FINite learning
Text feature selection for sentiment classification of Chinese online reviews
Accounting for a variety of reasoning data within a cognitive architecture
Improving experimental methods on success rates in evolutionary computation
A Novel Approach of Linguistic Picture Fuzzy Dombi Heronian Mean Operators and their Application to Emergency Program Selection
Novel FNN-based machine deep learning approach for image aggregation in application of the IoT
Behaviour-based control: examples from navigation, learning, and group behaviour
Local multi-valued logics in modular expert systems
The development and application of a knowledge modelling technique
Refined PSO Clustering for Not Well-Separated Data
Intelligent analysis of irregular physical factors for panic disorder using quantum probability
Is there a logic of information?
Is there an alternative to parsimonious semantics?
Effective algorithms for mining frequent-utility itemsets
Addressing data sparsity and cold-start challenges in recommender systems using advanced deep learning and self-supervised learning techniques
Data classification using the Dempster-Shafer method
Uncertainty in bipolar preference problems
Training SVM email classifiers using very large imbalanced dataset
Knowledge-oriented task and motion planning for multiple mobile robots
Fusing clinical and image data for detecting the severity of breast cancer by a novel hierarchical approach
A multi-objective decomposition-based ant colony optimisation algorithm with negative pheromone
Enhanced type-2 Wang-Mendel Approach
A new neural network framework for solving convex second-order cone constrained variational inequality problems with an application in multi-finger robot hands
A short note on rough set over dual-universes
An experimental study of sentiment classification using deep-based models with various word embedding techniques
Supporting ontology adaptation and versioning based on a graph of relevance
Alternating Transfer Functions to Prevent Overfitting in Non-Linear Regression with Neural Networks
Computational theories of mind, and Fodor's analysis of neural network behaviour
What humans can't do: a review of Derek Partridge, The Seductive Computer by Derek Partridge
Applying machine learning to programming by demonstration
Empirical-type simulated annealing for solving the capacitated vehicle routing problem
A flexible architecture for autonomous agents
Principles of continuous analogical reasoning
Searching graphs using mixed strategies
Term rewriting and its application to recognizing handwritten Hindu numerals
Fully informed artificial bee colony algorithm
The reasonability of panpsychism
Enhanced Optimizer Algorithm and its Application to Software Testing
How humans solve the frame problem
A mathematical analysis of improved EigenAnt algorithm
Seeker optimisation (human group optimisation) algorithm with chaos
A preference degree for ranking k-dimensional vectors of qualitative labels and its application in multi-attribute group decision-making
Contextual reasoning distilled
I-AHSDT: intrusion detection using adaptive dynamic directive operative fractional lion clustering and hyperbolic secant-based decision tree classifier
A computational model for assessing experts' trustworthiness
A probabilistic perceptron learning algorithm
The mental possible worlds mechanism and the lobster problem: an analysis of a complex GRE logical reasoning task
Development of human decision making model with consideration of human factors through reinforcement learning and prospect utility theory
Topological representation model for image database query
Reinforcement learning using swarm intelligence-trained neural networks
MEvo: a framework for effective macro sets evolution
Hierarchical age estimation mechanism with adaBoost-based deep instance weighted fusion
Conversational Strategies in cobber: an Affective Ccbr Framework
Detection of Epilepsy patients using coot optimization based feed forward multilayer neural network
How minds can be computational systems
Tropism-based cognition: a novel software architecture for agents in colonies
Parallel implementation of a class reasoner
EOSentiMiner: an opinion-aware system based on emotion ontology for sentiment analysis of Chinese online reviews
Method for evaluating plan recovery strategies in dynamic multi-agent environments
A theory-driven testing methodology for developing scientific software
Causal reversibility in Bayesian networks
Fuzzy logic in association rule mining: limited effectiveness analysis
Metaheuristics: review and application
Threat detection in Internet of Things using Cuckoo search Chicken Swarm optimisation algorithm
Interactivist-constructivist foundations for embodying attention
On the semantics of inheritance networks
Bounding the impact of AGI
Improving Domain-Independent Heuristic State-Space Planning via plan cost predictions
A bottom-up complement to the logic-based top-down approach to the story arrangement test
SPMNet: A light-weighted network with separable pyramid module for real-time semantic segmentation
Free will - even for robots
Action rules discovery: system DEAR2, method and experiments
Constraint updating
On computational social laws for dynamic non-homogeneous social structures
Endoscopy video summarisation using novel relational motion histogram descriptor and semi-supervised clustering
Contextual vocabulary acquisition as computational philosophy and as philosophical computation
Predicting focal point solution in divergent interest tacit coordination games
Opportunistic behaviour in animals and robots
Fodor's gloom or What does it mean that dualism seems true?
Convergence analysis of a patch structure Nicholson's blowflies system involving an oscillating death rate
After the humans are gone Douglas Engelbart Keynote Address, North American Computers and Philosophy Conference Rensselaer Polytechnic Institute, August, 2006
Incremental planning using conceptual graphs
Human detection based on deep learning YOLO-v2 for real-time UAV applications
Knowledge-based temporal interpolation
Towards accurate diagnosis: exploring knowledge distillation and self-attention in multimodal medical image fusion
Infinitary self-reference in learning theory
A new suggestion for an irrigation schedule with an artificial neural network
Unsupervised SMT: an analysis of Indic languages and a low resource language
Detection of distributed denial of service attack in cloud computing using the optimization-based deep networks
Fitting primitive shapes in point clouds: a practical approach to improve autonomous underwater grasp specification of unknown objects
Minds, machines and Searle
Ant colony optimisation and fuzzy system for prediction of computational data of fluid flow in a bubble column reactor
An augmented NSGA-II technique with virtual database to solve the composite generation and transmission expansion planning problem
An improved fractal image compression using wolf pack algorithm
The ethics of robot servitude
Generalized disjunction-free representation of frequent patterns with negation
DAMN: a distributed architecture for mobile navigation
Collaborative filtering based on multiple attribute decision making
Computing the Shapley value in allocation problems: approximations and bounds, with an application to the Italian VQR research assessment program
Blockchain-based cryptographic approach for privacy enabled data integrity model for IoT healthcare
MEXICA: A computer model of a cognitive account of creative writing
A robotic intelligent wheelchair system based on obstacle avoidance and navigation functions
Discriminating deception from truth and misinformation: an intent-level approach
On supervised graph Laplacian embedding CA model & kernel construction and its application
Perceptrons with polynomial post-processing
Propositional attitude framework requirements
Using genetic algorithms to create meaningful poetic text
A review of feature selection methods based on meta-heuristic algorithms
Distributed singleton consistency
A comprehensive survey on the ant lion optimiser, variants and applications
Efficient information theoretic extraction of higher order features for improving neural network-based spam e-mail categorization
An efficient safest route prediction-based route discovery mechanism for drivers using improved golden tortoise beetle optimizer
Improved butterfly optimisation algorithm based on guiding weight and population restart
A new hybrid correction method for short-term load forecasting based on ARIMA, SVR and CSA
Reasoning situated in time I: basic concepts
Mixing expressiveness and efficiency in a manufacturing planner
Generalized correlation coefficients of intuitionistic multiplicative sets and their applications to pattern recognition and clustering analysis
Guaranteed cost leaderless consensus for uncertain Markov jumping multi-agent systems
Modal queries about partially-ordered plans
Why we need biased AI: How including cognitive biases can enhance AI systems
Analogical projection in pattern perception
SWAQ: a Semantic Web Application Quality Evaluation Framework
Modal similarity
Raising the Bar for Theories of Categorisation and Concept Learning: The Need to Resolve Five Basic Paradigmatic Tensions
Inductive learning and defeasible inference
Modeling agent's preferences by its designer's social value orientation
Approximate algorithms for generalized maximum utility problems
Chaotic electromagnetism-like mechanism algorithm for economic load dispatch of power system
Gastric cancer classification in saliva data samples using Levy search updated rainfall hybrid deep dual-stage BILSTM
An analysis of expected-outcome
Improving Alzheimer's disease classification by performing data fusion with vascular dementia and stroke data
Efficient fireworks algorithms for dynamic optimisation problems in continuous space
AI models of verbal/conceptual analogy