Goal reasoning: Foundations, emerging applications, and prospects
DW Aha - AI Magazine, 2018 - ojs.aaai.org
Goal reasoning (GR) has a bright future as a foundation for the research and development of
intelligent agents. GR is the study of agents that can deliberate on and self-select their …
intelligent agents. GR is the study of agents that can deliberate on and self-select their …
40 years of cognitive architectures: core cognitive abilities and practical applications
I Kotseruba, JK Tsotsos - Artificial Intelligence Review, 2020 - Springer
In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …
architectures. To date, the number of existing architectures has reached several hundred …
[HTML][HTML] Trustworthy journalism through AI
Quality journalism has become more important than ever due to the need for quality and
trustworthy media outlets that can provide accurate information to the public and help to …
trustworthy media outlets that can provide accurate information to the public and help to …
A review of generalized planning
S Jiménez, J Segovia-Aguas… - The Knowledge …, 2019 - cambridge.org
Generalized planning studies the representation, computation and evaluation of solutions
that are valid for multiple planning instances. These are topics studied since the early days …
that are valid for multiple planning instances. These are topics studied since the early days …
Applying MAPE-K control loops for adaptive workflow management in smart factories
Monitoring the state of currently running processes and reacting to ad-hoc situations during
runtime is a key challenge in Business Process Management (BPM). This is especially the …
runtime is a key challenge in Business Process Management (BPM). This is especially the …
On the use of case-based planning for e-learning personalization
In this paper we propose myPTutor, a general and effective approach which uses AI
planning techniques to create fully tailored learning routes, as sequences of Learning …
planning techniques to create fully tailored learning routes, as sequences of Learning …
[HTML][HTML] Converting semantic web services into formal planning domain descriptions to enable manufacturing process planning and scheduling in industry 4.0
To build intelligent manufacturing systems that react flexibly in case of failures or
unexpected circumstances, manufacturing capabilities of production systems must be …
unexpected circumstances, manufacturing capabilities of production systems must be …
Model-lite planning: Case-based vs. model-based approaches
HH Zhuo, S Kambhampati - Artificial Intelligence, 2017 - Elsevier
There is increasing awareness in the planning community that depending on complete
models impedes the applicability of planning technology in many real world domains where …
models impedes the applicability of planning technology in many real world domains where …
Adaptive management of cyber-physical workflows by means of case-based reasoning and automated planning
Today, it is difficult for companies to react to unforeseen events, eg, global crises. Highly
standardized manufacturing processes are particularly limited in their ability to react flexibly …
standardized manufacturing processes are particularly limited in their ability to react flexibly …
[HTML][HTML] Computing programs for generalized planning using a classical planner
Generalized planning is the task of generating a single solution (a generalized plan) that is
valid for multiple planning instances. In this paper we introduce a novel formalism for …
valid for multiple planning instances. In this paper we introduce a novel formalism for …