Deborah Denman, Reinie Cordier, Jae-Hyun Kim, Natalie Munro, Renée Speyer
What Influences Speech-Language Pathologists' Use of Different Types of Language Assessments for Elementary School-Age Children?
Language, speech, and hearing services in schools
probabilistic planning attempts incorporate stochastic models directly planning process problem synthesizing sequence actions achieves objective putative agent probabilistic programming rapidly emerged key paradigm integrate probabilistic concepts programming languages allows one specify complex probabilistic models using programming primitives like recursion loops probabilistic logic programming aims ease specification structured probability distributions using firstorder logical artefacts article briefly discuss modelling probabilistic planning lens probabilistic logic programming although many flavours integration possible focus two representative examples first extension popular probabilistic logic programming language problog permits decoration probabilities horn clausesthat prolog programs second extension popular agent programming language golog permits logical specification dynamical systems via actions effects observations probabilistic extensions thereof emphasize different strengths probabilistic programming particularly useful nontrivial modelling issues raised probabilistic planning among things one instantiate planning problems growing shrinking state spaces discrete continuous probability distributions nonunique prior distributions firstorder setting