Abstract The Planning Domain Definition Language (PDDL) is the state-of-the-art language
for specifying planning problems in artificial intelligence research. Writing and maintaining …

Even though there are sophisticated AI planning algorithms, many integrated, large-scale
projects do not use planning. One reason seems to be the missing support by engineering …

Much of the literature in the Knowledge Engineering subfield of Automated Planning has
focussed on domain engineering: for example, how to assist non-experts to construct useful …

Encoding a planning domain model is a complex task in realistic applications. It includes the
analysis of planning application requirements, formulating a model that describes the …

Existing automated domain acquisition approaches require large amounts of structured data
in the form of plans or plan traces to converge. Further, automatically-generated domain …

There is controversy as to whether explicit support for pddl-like axioms and derived
predicates is needed for planners to handle real-world domains effectively. Many …

Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about
plans, most importantly the reasoning that goes into formulating a plan to achieve a given …

Artificial intelligence (AI) planning solves the problem of generating a correct and efficient
ordered set of instantiated activities, from a knowledge base of generic actions, which when …

Many recent works have explored using language models for planning problems. One line
of research focuses on translating natural language descriptions of planning tasks into …

Abstract The Planning Domain Definition Language (PDDL) represents a standard for
definitions of planning domains and problems. Researchers and designers often make …