Engineering knowledge for automated planning: Towards a notion of quality
Automated planning is a prominent Artificial Intelligence challenge, as well as being a
common capability requirement for intelligent autonomous agents. A critical aspect of what is …
common capability requirement for intelligent autonomous agents. A critical aspect of what is …
What you always wanted to know about the deterministic part of the international planning competition (IPC) 2014 (but were too afraid to ask)
The International Planning Competition (IPC) is a prominent event of the artificial
intelligence planning community that has been organized since 1998; it aims at fostering the …
intelligence planning community that has been organized since 1998; it aims at fostering the …
[PDF][PDF] On-the-Fly Knowledge Acquisition for Automated Planning Applications: Challenges and Lessons Learnt.
Automated planning is a prominent AI challenge, and it is now exploited in a range of real-
world applications. There are three crucial aspects of automated planning: the planning …
world applications. There are three crucial aspects of automated planning: the planning …
Comparing Planning Domain Models Using Answer Set Programming
Automated planning is a prominent area of Artificial Intelligence, and an important
component for intelligent autonomous agents. A critical aspect of domain-independent …
component for intelligent autonomous agents. A critical aspect of domain-independent …
On the robustness of domain-independent planning engines: the impact of poorly-engineered knowledge
Recent advances in automated planning are leading towards the use of planning engines in
a wide range of real-world applications. As the exploitation of planning techniques in …
a wide range of real-world applications. As the exploitation of planning techniques in …
[PDF][PDF] A Quality Framework for Automated Planning Knowledge Models.
M Vallati, TL Mccluskey - ICAART (2), 2021 - scitepress.org
Automated planning is a prominent Artificial Intelligence challenge, as well as a requirement
for intelligent autonomous agents. A crucial aspect of automated planning is the knowledge …
for intelligent autonomous agents. A crucial aspect of automated planning is the knowledge …
Planning in the Dark: LLM-Symbolic Planning Pipeline without Experts
Large Language Models (LLMs) have shown promise in solving natural language-described
planning tasks, but their direct use often leads to inconsistent reasoning and hallucination …
planning tasks, but their direct use often leads to inconsistent reasoning and hallucination …
Identifying and exploiting spatial regularity in data memory references
The growing processor/memory performance gap causes the performance of many codes to
be limited by memory accesses. If known to exist in an application, strided memory accesses …
be limited by memory accesses. If known to exist in an application, strided memory accesses …
In defence of design patterns for AI planning knowledge models
M Vallati, TL McCluskey - … Conference of the Italian Association for Artificial …, 2020 - Springer
Abstract Design patterns are widely used in various areas of computer science, the most
notable example being software engineering. They have been introduced also for …
notable example being software engineering. They have been introduced also for …
Towards a safer planning and execution concept
Acting of intelligent entities, or agents, is determined by their ability to deliberatively reason
towards longer-term goals while being able to react to unexpected situations. In particular …
towards longer-term goals while being able to react to unexpected situations. In particular …