By Enrico Pontelli, Tran Cao Son

This e-book constitutes the refereed lawsuits of the seventeenth foreign Symposium on sensible points of Declarative Languages, PADL 2015, held in Portland, OR, united states, in June 2015.

The 10 revised papers provided have been rigorously reviewed and chosen from a number of submissions. The papers disguise all types of declarative techniques, together with, practical, common sense, constraints, etc.

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Additional info for Practical Aspects of Declarative Languages: 17th International Symposium, PADL 2015, Portland, OR, USA, June 18-19, 2015. Proceedings

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Like Datalog, LM is a forward-chaining logic programming language since computation is driven by a set of inference rules that are used to update a database of logical facts. In Datalog, programs are monotonic and therefore the database grows in size as more facts are inferred from the logical rules. In LM, logical facts are linear and thus can be retracted when a rule is inferred. The use of linear facts greatly increases the power of the language but also increases the complexity of the implementation since database facts are retracted often.

Given a STRIPS planning problem Π = R, A, G, S (see Definition 4), we define a set of T R rules, P(Π), which simulate naive planning technique to provide a planning solution to the planning problem. P(Π) has two parts, Pgeneral , PA , described below. – The Pgeneral part: contains a couple of rules as follows; plan ← . plan ← execute action ⊗ plan. (7) These rules construct a sequence of actions and bind them to the plan. – The Pactions part: for each α ∈ A, Pactions has a couple of rules as follows; pα (X) ← (∧ ∈P re(α) ) ⊗ (⊗u∈Enf(E(α)) u).

A deductive solution for plan generation. New Generation Computing 4(2), 115–132 (1986) 7. : A deductive solution for plan generation. , Thanos, C. ) Foundations of Knowledge Base Management. Information Systems, pp. 453–473. Springer, Heidelberg (1989) 8. : Plan generation by linear proofs: on semantics. In: Metzing, D. ) GWAI-89 13th German Workshop on Artificial Intelligence, Informatik-Fachberichte, vol. 216, pp. 49–62. Springer, Heidelberg (1989) 9. : Transaction logic programming. In: Int’l Conference on Logic Programming, pp.

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