User:Rodrigo.siqueira/Books/AI Consciousness
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AI Consciousness[edit]
- AI takeover
- Algorithmic information theory
- Anaphora (linguistics)
- Anomaly detection
- Apprenticeship learning
- Artificial brain
- Artificial consciousness
- Artificial general intelligence
- Artificial intelligence
- Artificial neural network
- Automatic summarization
- Automatic taxonomy construction
- Backpropagation
- Baddeley's model of working memory
- Basis function
- Bayes' theorem
- Bayesian cognitive science
- Bayesian inference
- Bayesian linear regression
- Bayesian network
- Bayesian probability
- Bayesian programming
- Belief–desire–intention software model
- Brown clustering
- Case-based reasoning
- Catastrophic interference
- Categorical perception
- Categorization
- Cluster analysis
- Cognitive model
- Commonsense reasoning
- Comparison of deep learning software
- Computational lexicology
- Computational linguistics
- Concept learning
- Concept mining
- Conceptual space
- Connectionism
- Correlation and dependence
- Cosine similarity
- Data science
- Decision theory
- Decision tree
- Decision tree learning
- Deep learning
- Deep linguistic processing
- Dimensionality reduction
- Document classification
- Dynamic Bayesian network
- Emergence
- Evolutionary computation
- Feature hashing
- Feature learning
- Feature vector
- Full-text search
- Fuzzy set
- Generative model
- Geoffrey Hinton
- Global Workspace Theory
- Google Brain
- Gradient descent
- Hard problem of consciousness
- Hidden Markov model
- Hierarchical hidden Markov model
- Hierarchical temporal memory
- History of artificial intelligence
- How to Create a Mind
- Inductive probability
- Information extraction
- Information retrieval
- Information theory
- Intelligent agent
- Intentional stance
- Interactive data visualization
- Introspection illusion
- K-nearest neighbors algorithm
- Kernel method
- Kernel perceptron
- Knowledge base
- Knowledge extraction
- Knowledge-based systems
- Kolmogorov complexity
- Language model
- Latent semantic analysis
- Latent variable
- Layered hidden Markov model
- Learning rule
- Lexical functional grammar
- Lexical semantics
- Lexical substitution
- Linguistics
- Logistic regression
- Long short-term memory
- Loss function
- Machine learning
- Markov chain
- Markov decision process
- Markov model
- Markov property
- Memory
- Mental property
- Moravec's paradox
- Multilayer perceptron
- Multiple drafts model
- Naive Bayes classifier
- Natural language generation
- Natural language processing
- Natural language understanding
- Negative search
- Noisy text
- Nouvelle AI
- Ontology (information science)
- Overfitting
- Part-of-speech tagging
- Pattern recognition
- Personalized marketing
- Portal:Machine learning
- Precision and recall
- Preference elicitation
- Prior probability
- Probabilistic classification
- Procedural reasoning system
- Pruning (decision trees)
- Qualia
- Query likelihood model
- Question answering
- Ranking (information retrieval)
- Reasoning system
- Recommender system
- Recurrent neural network
- Recursive Bayesian estimation
- Regression analysis
- Reinforcement
- Reinforcement learning
- Relevance feedback
- Reservoir computing
- Sentence extraction
- Sentiment analysis
- SimRank
- Softmax function
- Statistical classification
- Statistical model
- Supervised learning
- Support vector machine
- Synaptic weight
- Tag (metadata)
- Taxonomy (general)
- TensorFlow
- Text mining
- Text simplification
- Tf–idf
- Thought vector
- Time series
- Topic model
- Type I and type II errors
- Unsupervised learning
- Vector space model
- W-shingling
- Word embedding
- Word superiority effect
- Word-sense disambiguation
- Word2vec
- WordNet