Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the rock record have been identified mostly as linearly-consistent carbonate apron deposits, even though most ancient clastic carbonate slope deposits fit the submarine fan systems better. Calciclastic submarine fans are consequently rarely described and are poorly understood. Subsequently, very little is known especially in mud-dominated calciclastic submarine fan systems. Presented in this study are a sedimentological core and petrographic characterisation of samples from eleven boreholes from the Lower Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are recognised from core and thin section characterisation and are grouped into three carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of highto low-density, wavy-laminated bioclast-rich facies; 2) low-density densite mudstones which are characterised by planar laminated and unlaminated muddominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debrisflow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

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Automated Planning: Theory and Practice.

Autonomous AI systems need complex computational techniques for planning and performing actions. Planning and acting require significant deliberation because an intelligent system must coordinate and integrate these activities in order to act effectively in the real world. This book presents a comprehensive paradigm of planning and acting using the most recent and advanced automated-planning techniques. It explains the computational deliberation capabilities that allow an actor, whether physical or virtual, to reason about its actions, choose them, organize them purposefully, and act deliberately to achieve an objective. Useful for students, practitioners, and researchers, this book covers state-of-the-art planning techniques, acting techniques, and their integration which will allow readers to design intelligent systems that are able to act effectively in the real world.

Automated Planning and Acting

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Grooming Gossip And The Evolution Of Language

The Cambridge Handbook of Situated Cognition: Book Review

The field of deterministic AI planning can roughly be divided into two approaches -- classical state-based planning and hierarchical task network (HTN) planning. The plan existence problem of the former is known to be decidable while it has been proved undecidable for the latter. When extending HTN planning by allowing the unrestricted insertion of tasks and ordering constraints, one obtains a form of planning which is often referred to as "hybrid planning".

We present a simplified formalization of HTN planning with and without task insertion. We show that the plan existence problem is undecidable for the HTN setting without task insertion and that it becomes decidable when allowing task insertion. In the course of the proof, we obtain an upper complexity bound of EXPSPACE for the plan existence problem for propositional HTN planning with task insertion.

On the decidability of HTN planning with task insertion

In various social, work-related, or educational contexts, an increasing demand for intelligent assistance systems can be observed In this paper, we present a domain-independent approach that combines a number of planning and interaction components to realize advanced user assistance Based on a hybrid planning formalism, the components provide facilities including the generation, execution, and repair as well as the presentation and explanation of plans We demonstrate the feasibility of our approach by means of a system that aims to assist users in the assembly of their home theater An empirical evaluation shows the benefit of such a supportive system, in particular for persons with a lack of domain expertise

Plan, repair, execute, explain — how planning helps to assemble your home theater

Hierarchical planning has attracted renewed interest in the last couple of years, which led to numerous novel formalisms, problem classes, and theoretical investigations. Yet it is important to differentiate between the various formalisms and problem classes, since they show -- sometimes fundamental -- differences with regard to their expressivity and computational complexity: Some of them can be regarded equivalent to non-hierarchical formalisms while others are clearly more expressive. We survey the most important hierarchical problem classes and explain their differences and similarities. We furthermore give pointers to some of the best-known planning systems capable of solving the respective problem classes.

/pdf/a-survey-on-hierarchical-planning-one-abstract-idea-many-v7ey2f8y2u.pdf

A Survey on Hierarchical Planning – One Abstract Idea, Many Concrete Realizations

Hybrid Planning combines Hierarchical Task Network (HTN) planning with concepts known from Partial-Order Causal-Link (POCL) planning. We introduce novel heuristics for Hybrid Planning that estimate the number of necessary modifications to turn a partial plan into a solution. These estimates are based on the task decomposition graph that contains all decompositions of the abstract tasks in the planning domain. Our empirical evaluation shows that the proposed heuristics can significantly improve planning performance.

/pdf/hybrid-planning-heuristics-based-on-task-decomposition-ic04w498jc.pdf

Hybrid Planning Heuristics Based on Task Decomposition Graphs

In hierarchical planning, landmarks are tasks that occur on every search path leading from the initial plan to a solution. In this work, we present novel domain-independent planning strategies based on such hierarchical landmarks. Our empirical evaluation on four benchmark domains shows that these landmark-aware strategies outperform established search strategies in many cases.

/pdf/improving-hierarchical-planning-performance-by-the-use-of-46ye3xb0iw.pdf

Pascal Bercher

Papers

On the decidability of HTN planning with task insertion

Plan, repair, execute, explain — how planning helps to assemble your home theater

A Survey on Hierarchical Planning – One Abstract Idea, Many Concrete Realizations

Hybrid Planning Heuristics Based on Task Decomposition Graphs

Improving hierarchical planning performance by the use of landmarks