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Programming paradigm
Probabilistic logic programming is a programming paradigm that combines logic programming with probabilities. Most approaches to probabilistic logic programming
Probabilistic logic programming
Probabilistic_logic_programming
Software system for statistical models
Probabilistic programming (PP) is a programming paradigm based on the declarative specification of probabilistic models, for which inference is performed
Probabilistic_programming
Learning logic programs from data
Inductive logic programming (ILP) is a subfield of symbolic artificial intelligence which uses logic programming as a uniform representation for examples
Inductive_logic_programming
Applications of logic under uncertainty
Probabilistic logic (also probability logic and probabilistic reasoning) involves the use of probability and logic to deal with uncertain situations. Probabilistic
Probabilistic_logic
Probabilistic logic programming language
probabilistic logic programming language that extends Prolog with probabilities. It minimally extends Prolog by adding the notion of a probabilistic fact
ProbLog
Indian-American computer scientist
of Artificial Intelligence (AAAI) for contributions to probabilistic database, logic programming, and intelligent agent-based systems. In 2022, Subrahmanian
V._S._Subrahmanian
Probabilistic Soft Logic (PSL) is a statistical relational learning (SRL) framework for modeling probabilistic and relational domains. It is applicable
Probabilistic_soft_logic
Data structure for Boolean functions
(2014). Compiling probabilistic logic programs into sentential decision diagrams. In Proceedings Workshop on Probabilistic Logic Programming (PLP) (pp. 1-10)
Sentential_decision_diagram
2016 Award. The PRISM probabilistic model checker appears unrelated to the PRISM probabilistic logic programming system (PRogramming In Statistical Modelling
PRISM_model_checker
Subfield of artificial intelligence
Demeester, Thomas; De Raedt, Luc (2018). "DeepProbLog: Neural Probabilistic Logic Programming". Advances in Neural Information Processing Systems 31 (NeurIPS
Neuro-symbolic_AI
Subdiscipline of artificial intelligence
first-order logic to describe relational properties of a domain in a general manner (universal quantification) and draw upon probabilistic graphical models
Statistical relational learning
Statistical_relational_learning
Area of automatic programming
inductive programming, such as functional logic programming, constraint programming, probabilistic programming, abductive logic programming, modal logic, action
Inductive_programming
Programming paradigm based on formal logic
Logic programming is a programming, database, and knowledge representation paradigm based on formal logic. A logic program is a set of sentences in logical
Logic_programming
Statistics concept
inference engine to automate probabilistic reasoning—a kind of Prolog for probability instead of logic. Bayesian programming is a formal and concrete implementation
Bayesian_programming
Intelligence in machines
the logic programming language Prolog, is Turing complete. Moreover, its efficiency is competitive with computation in other symbolic programming languages
Artificial_intelligence
Methods in artificial intelligence research
representations of problems, logic, and search. Symbolic AI used tools such as logic programming, production rules, semantic nets and frames. It developed applications
Symbolic artificial intelligence
Symbolic_artificial_intelligence
Project for an open source artificial intelligence framework
inference and chaining. An implementation of a probabilistic reasoning engine based on probabilistic logic networks. The current implementation uses the
OpenCog
Overview of and topical guide to computer programming
computer programming: Computer programming – process that leads from an original formulation of a computing problem to executable computer programs. Programming
Outline of computer programming
Outline_of_computer_programming
Logical connective AND
{\displaystyle \cdot } ; and in programming languages &, &&, or and. In Jan Łukasiewicz's prefix notation for logic, the operator is K {\displaystyle
Logical_conjunction
Inference seeking the simplest and most likely explanation
extended to modal logic. Abductive logic programming is a computational framework that extends normal logic programming with abduction. It separates the
Abductive_reasoning
Software able to infer logical consequences
There are also examples of probabilistic reasoners, including non-axiomatic reasoning systems, and probabilistic logic networks. Notable semantic reasoners
Semantic_reasoner
Programming paradigm focused on difficult search problems
set programming to the problem of product configuration. In 1999, the term "answer set programming" appeared for the first time in a book The Logic Programming
Answer_set_programming
Algebraic manipulation of "true" and "false"
logical truth values yields a multi-valued logic, which forms the basis for fuzzy logic and probabilistic logic. In these interpretations, a value is interpreted
Boolean_algebra
Reasoning of knowledge about knowledge
autoepistemic logic can express knowledge and lack of knowledge about facts. The stable model semantics, which is used to give a semantics to logic programming with
Autoepistemic_logic
British professor
and probabilistic knowledge. She has been awarded the prize for the best application paper at the International Conference on Logic Programming (ICLP)
Alessandra_Russo
formal logic, and unlike many other programming languages, Prolog is intended primarily as a declarative programming language: the program logic is expressed
Glossary_of_computer_science
Computer science field
finite-state concurrent systems using temporal logic specifications", ACM Transactions on Programming Languages and Systems, 8 (2): 244, doi:10.1145/5397
Model_checking
German computer scientist
(2008) Probabilistic Inductive Logic Programming. In: De Raedt L., Frasconi P., Kersting K., Muggleton S. (eds) Probabilistic Inductive Logic Programming. Lecture
Kristian_Kersting
Study of correct reasoning
Logic is the study of correct reasoning. It includes both formal and informal logic. Formal logic is the study of deductively valid inferences or logical
Logic
articles include material on context-aware mobile applications, probabilistic logic programming, paleoecology, and gene mapping. Toivonen holds 10 patents
Hannu_Toivonen_(professor)
Study of database design and use
expressible in this language, more powerful languages based on logic programming and fixpoint logic such as Datalog were studied. The theory also explores foundations
Database_theory
properties. PLTL: Probabilistic Linear Temporal Logic. PRCTL: Probabilistic Reward Computation Tree Logic; it extends PCTL with reward-bounded properties
List_of_model_checking_tools
Type of software system
of certainty factors, probabilistic methods such as Bayesian inference or Dempster–Shafer theory, multi-valued ('fuzzy') logic and various connectionist
Reasoning_system
Logic programming using abductive reasoning
Abductive logic programming (ALP) is a high-level knowledge-representation framework that can be used to solve problems declaratively, based on abductive
Abductive_logic_programming
Reasoning for mathematical statements
frequently used as an assumption for further mathematical work. Proofs employ logic expressed in mathematical symbols, along with natural language that usually
Mathematical_proof
Book by Stuart J. Russell and Peter Norvig
AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems
Artificial Intelligence: A Modern Approach
Artificial_Intelligence:_A_Modern_Approach
List of concepts in artificial intelligence
to drive his model of situational logic. probabilistic programming (PP) A programming paradigm in which probabilistic models are specified and inference
Glossary of artificial intelligence
Glossary_of_artificial_intelligence
American/Canadian computer scientist (born 1954)
For example, he introduced logic and a real-valued interpretation of the logic to capture equivalence of probabilistic processes quantitatively." In
Prakash_Panangaden
Dijkstra's algorithm Theta* Bug algorithm Dynamic window approach Graphplan Probabilistic roadmap Rapidly-exploring random tree Vector Field Histogram AdaBoost
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Study of the semantics, or interpretations, of formal and natural languages
logics of (finite) partially ordered quantification, which were originally investigated by Leon Henkin, who studied Henkin quantifiers. Probabilistic
Semantics_(logic)
Method of deriving conclusions
Some many-valued logics take the form of probability logics, which make it possible to reason from uncertain information to probabilistic conclusions. Various
Rule_of_inference
Concept in computer science
variety of reversible device concepts, logic gates, electronic circuits, processor architectures, programming languages, and application algorithms have
Reversible_computing
Data having only values "true" or "false"
a more general logical data type—logic does not always need to be Boolean (see probabilistic logic). In programming languages with a built-in Boolean
Boolean_data_type
complexity of computations, probabilistic methods, mathematical logic, formal methods of program analysis, logical programming, mathematical cryptography
Institute for System Programming
Institute_for_System_Programming
Greek mathematician and logician (born 1947)
Conferences: STOC '87 (and programming committee of STOC '01), ICALP, CiE (Computability in Europe), PLS, ASL (Association for Symbolic Logic) European Summer Meeting
Stathis_Zachos
Method of statistical inference
(2013). Bayesian Programming (1 edition) Chapman and Hall/CRC. Daniel Roy (2015). "Probabilistic Programming". probabilistic-programming.org. Archived from
Bayesian_inference
Combinational digital circuit
In computing, an arithmetic logic unit (ALU) is a combinational digital circuit that performs arithmetic and bitwise operations on integer binary numbers
Arithmetic_logic_unit
to the use of constraints in constraint logic programming, but without the logic processing basis. Probabilistic value sets is a natural extension of value
Narrowing of algebraic value sets
Narrowing_of_algebraic_value_sets
Reformulation of Floyd-Hoare logic
Annabelle; Seidel, Karen (May 1996). "Probabilistic Predicate Transformers" (PDF). ACM Transactions on Programming Languages and Systems. 18 (3): 325–353
Predicate transformer semantics
Predicate_transformer_semantics
Theory in computer science
order to take advantage of the QBF solvers. Probabilistic CTL Fair computational tree logic Linear temporal logic Vardi, Moshe Y. (2001). Branching vs. Linear
Computation_tree_logic
Supervised machine learning techniques
prediction include inductive logic programming, case-based reasoning, structured SVMs, Markov logic networks, Probabilistic Soft Logic, and constrained conditional
Structured_prediction
technique Logic and automated reasoning Programming using logic Logic programming – Programming paradigm based on formal logic See "Logic as search"
Outline of artificial intelligence
Outline_of_artificial_intelligence
Computer system simulating intelligence
is based on the model of the human brain with probabilistic thinking, fuzzy logic and multi-valued logic. Soft computing can process a wealth of data and
Computational_intelligence
Logical problem studied in computer science
formalized approach to constraint programming. Formally speaking, an SMT instance is a formula in first-order logic, where some function and predicate
Satisfiability modulo theories
Satisfiability_modulo_theories
Steps in reasoning
recognition to natural language processing. Prolog (for "Programming in Logic") is a programming language based on a subset of predicate calculus. Its main
Inference
Logic programming language
The LogicBlox system is a commercial, declarative, incremental logic programming language and deductive database inspired by Datalog. The LogiQL programming
LogicBlox
Table specifying actions based on conditions
alternatives (similar to switch-case), and some tables even use fuzzy logic or probabilistic representations for condition alternatives. In a similar way, action
Decision_table
Overview of and topical guide to machine learning
Prisma (app) Probabilistic Action Cores Probabilistic context-free grammar Probabilistic latent semantic analysis Probabilistic soft logic Probability
Outline_of_machine_learning
Overview of and topical guide to algorithms
integration Monte Carlo method Linear programming Simplex algorithm Interior-point method Integer programming Dynamic programming Gradient descent Stochastic gradient
Outline_of_algorithms
Mathematical program specifications
Rustan M. (2010). "Dafny: An Automatic Program Verifier for Functional Correctness". Logic for Programming, Artificial Intelligence, and Reasoning.
Formal_methods
Look up Appendix:Glossary of logic in Wiktionary, the free dictionary. This is a glossary of logic. Logic is the study of the principles of valid reasoning
Glossary_of_logic
American computer scientist
Abstraction, Refinement and Proof for Probabilistic Systems, in which the same themes were pursued for probabilistic programs. His more recent text (with five
Carroll Morgan (computer scientist)
Carroll_Morgan_(computer_scientist)
1980s, a variety of logics and extensions of first-order logic were developed both for negation as failure in logic programming and for default reasoning
History of artificial intelligence
History_of_artificial_intelligence
Algorithm that employs a degree of randomness as part of its logic or procedure
algorithm is an algorithm that employs a degree of randomness as part of its logic or procedure. The algorithm typically uses uniformly random bits as an auxiliary
Randomized_algorithm
agents without being explicitly programmed. R. Riveret, Y. Gao, G. Governatori, A. Rotolo, J. Pitt, G. Sartor. A probabilistic argumentation framework for
Norm (artificial intelligence)
Norm_(artificial_intelligence)
machine learning and predictive analytics platform Infer.NET — probabilistic programming framework for Bayesian inference Jubatus — online machine learning
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Method of logical reasoning
Falsifiability Grammar induction Inductive logic programming Inductive probability Inductive programming Inductive reasoning aptitude Inductivism Inquiry
Inductive_reasoning
Approach for designing software
contract (DbC), also known as contract programming, programming by contract and design-by-contract programming, is an approach for designing software
Design_by_contract
Digital circuit design abstraction
level (logic families) or logic gate level. In HDLs the designer declares the registers (which roughly correspond to variables in computer programming languages)
Register-transfer_level
Basic circuit in quantum computing
computation, a quantum logic gate (or simply quantum gate) is a basic quantum circuit operating on a small number of qubits. Quantum logic gates are the building
Quantum_logic_gate
Computer science and logic conference
of Weak Bisimulation for Probabilistic Processes" François Laroussinie, Nicolas Markey, Philippe Schnoebelen, "Temporal Logic with Forgettable Past" At
Symposium on Logic in Computer Science
Symposium_on_Logic_in_Computer_Science
Sequence of operations for a task
multiple iterations. Mathematics portal Computer programming portal Abstract machine ALGOL Algorithm = Logic + Control Algorithm aversion Algorithm engineering
Algorithm
Branch of artificial intelligence
are observed so that all constraints are guaranteed to be satisfied. Probabilistic planning can be solved with iterative methods such as value iteration
Automated planning and scheduling
Automated_planning_and_scheduling
Language for reasoning and representing events
Paliouras, Georgios (March 2015). "A probabilistic logic programming event calculus". Theory and Practice of Logic Programming. 15 (2): 213–245. arXiv:1204.1851
Event_calculus
Systems Analysis Programs for Hands-on Integrated Reliability Evaluations
SAPHIRE is a probabilistic risk and reliability assessment software tool. SAPHIRE stands for Systems Analysis Programs for Hands-on Integrated Reliability
SAPHIRE
Reasoning that is rationally compelling, though not deductively valid
or not-p in classical logic, not necessarily in other logics) Defeasible (from authority): if p then (defeasibly) q Probabilistic (from combinatorics and
Defeasible_reasoning
Varying application boundaries
features fuzzy logic programming that steers it through rough terrain. Similarly, to the North, the Chinese Mars rover Zhurong used fuzzy logic algorithms
Fuzzy_concept
Problem of counting solutions to logic formulas
Management Systems and Treewidth for Counting". Theory and Practice of Logic Programming. 22 (1): 128–157. arXiv:2001.04191. doi:10.1017/s147106842100003x
♯SAT
Branch of mathematics concerning probability
statistics to predict outcomes Probabilistic logic – Applications of logic under uncertainty Probabilistic proofs of non-probabilistic theorems Probability distribution –
Probability_theory
Local search algorithm solving boolean satisfiability
Boolean satisfiability problems. Both algorithms work on formulae in Boolean logic that are in, or have been converted into conjunctive normal form. They start
WalkSAT
on logic programming paradigm Answer Set Programming (ASP) and its extension, Reactive ASP. In another example, bottom-up inductive logic programming approach
Action_model_learning
Subset of artificial intelligence
hypothesized logic program that entails all positive and no negative examples. Inductive programming is a related field that considers any kind of programming language
Machine_learning
Boolean function
In Boolean logic, the majority function (also called the median operator) is the Boolean function that evaluates to false when half or more arguments
Majority_function
Project management tool
technique used in project management that allows for the probabilistic treatment of both network logic and estimation of activity duration. The technique was
Graphical Evaluation and Review Technique
Graphical_Evaluation_and_Review_Technique
Method of solving computing problems
Computing technique comprises Fuzzy logic, neuro-computing, evolutionary-computing, machine learning and probabilistic-chaotic computing. Instead of solving
Lateral_computing
Computation model defining an abstract machine
A programming language that is Turing complete is theoretically capable of expressing all tasks accomplishable by computers; nearly all programming languages
Turing_machine
American linguist and cognitive scientist
conventional implicature, and their kin. His more recent work develops probabilistic models of pragmatic inference that bridge theoretical and experimental
Christopher_Potts
Compiler optimization technique
"TOAST: Applying Answer Set Programming to Superoptimisation". In Etalle, Sandro; Truszczyński, Mirosław (eds.). Logic Programming. Lecture Notes in Computer
Superoptimization
Model of quantum computation
common model. Quantum Turing machines can be related to classical and probabilistic Turing machines in a framework based on transition matrices. That is
Quantum_Turing_machine
Theoretical computer used for defining a model of computation
memory, arithmetic and logic circuits, buses, etc., to implement a physical machine whose machine language coincides with the programming language. Once constructed
Abstract_machine
American computer scientist and AI researcher
Artificial General Intelligence. Springer. Ben Goertzel (2006). Probabilistic Logic Networks: A Comprehensive Framework for Uncertain Inference. Plenum
Ben_Goertzel
Card trick and probabilistic concept
Pierre-Yves (2017-07-12) [2015]. "Relational Reasoning via Probabilistic Coupling". Logic for Programming, Artificial Intelligence, and Reasoning. Lecture Notes
Kruskal_count
Relation between transition systems in computer science
semantics of a programming language, then the precise definition of bisimulation will be specific to the restrictions of the programming language. Therefore
Bisimulation
Categorization of data using statistics
expression programming – Evolutionary algorithm Multi expression programming Linear genetic programming Kernel estimation – Concept in statisticsPages displaying
Statistical_classification
Machine learning and inference framework
and inference framework that augments the learning of conditional (probabilistic or discriminative) models with declarative constraints. The constraint
Constrained_conditional_model
Finite-State Concurrent Systems using Temporal Logic Specifications, in: ACM Transactions on Programming Languages and Systems, April 1986, vol. 8, no
Construction and Analysis of Distributed Processes
Construction_and_Analysis_of_Distributed_Processes
Subdivisions of science defined by their scope
distributed computation, probabilistic computation, quantum computation, automata theory, information theory, cryptography, program semantics and verification
Branches_of_science
Study of abstract machines and automata
computer science with close connections to cognitive science and mathematical logic. The word automata comes from the Greek word αὐτόματος, which means "self-acting
Automata_theory
Software projects developed at universities
Oz – multiparadigm programming language (UCLouvain) Pascal – structured programming language (ETH Zurich) Prolog – logic programming language (Aix-Marseille)
List of software developed at universities
List_of_software_developed_at_universities
American engineer
Computing worked out many key ideas for fault equivalence, probabilistic modeling of logic networks, pseudo-exhaustive testing, and watchdog processors
Edward_J._McCluskey
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PROBABILISTIC LOGIC-PROGRAMMING
PROBABILISTIC LOGIC-PROGRAMMING
Girl/Female
Tamil
Trick, Power, Strategy, Solution by logic, By reasoning
Surname or Lastname
English
English : habitational name from Lowthorpe in East Yorkshire, named with the Old Norse personal name Logi or Lági + þorp ‘outlying farmstead’In 1634 the name was brought to North America by the Rev. John Lathrop (b. 1584 in Etton, Yorkshire, England), a Puritan preacher fleeing religious persecution. He arrived at Plymouth Colony and lived in Scituate, MA until 1639, then moved to Barnstable MA, where his Bible can still be seen.
Girl/Female
Hindu
Trick, Power, Strategy, Solution by logic, By reasoning
Girl/Female
Arabic, Muslim, Pashtun
Logic; Reason
Boy/Male
Tamil
Full of feathers, Full of logic, Name of sage, Vatsyayan
Girl/Female
Gujarati, Hindu, Indian, Kannada, Tamil
Trick; Power; Strategy; Solution by Logic; By Reasoning
Girl/Female
Tamil
Vinyasa | விநà¯à®¯à®¾à®¸
A yogic posture
Vinyasa | விநà¯à®¯à®¾à®¸
Girl/Female
Tamil
Trick, Power, Strategy, Solution by logic, By reasoning
Girl/Female
British, English
15th Century
Girl/Female
Indian, Sanskrit
A Yogic Posture
Boy/Male
Hindu
Full of feathers, Full of logic, Name of sage, Vatsyayan
PROBABILISTIC LOGIC-PROGRAMMING
PROBABILISTIC LOGIC-PROGRAMMING
PROBABILISTIC LOGIC-PROGRAMMING
PROBABILISTIC LOGIC-PROGRAMMING
PROBABILISTIC LOGIC-PROGRAMMING
PROBABILISTIC LOGIC-PROGRAMMING
PROBABILISTIC LOGIC-PROGRAMMING
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