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[HTML][HTML] A validated ontology for metareasoning in intelligent systems
Metareasoning suffers from the heterogeneity problem, in which different researchers build
diverse metareasoning models for intelligent systems with comparable functionality but …
diverse metareasoning models for intelligent systems with comparable functionality but …
What do you really want to do? Towards a Theory of Intentions for Human-Robot Collaboration
The architecture described in this paper encodes a theory of intentions based on the key
principles of non-procrastination, persistence, and automatically limiting reasoning to …
principles of non-procrastination, persistence, and automatically limiting reasoning to …
[PDF][PDF] The understanding problem in cognitive science
Understanding is at the core of higher-level information processing and has a long history in
the cognitive sciences. It is often described as a complex phenomenon with many …
the cognitive sciences. It is often described as a complex phenomenon with many …
Computational metacognition
Computational metacognition represents a cognitive systems perspective on high-order
reasoning in integrated artificial systems that seeks to leverage ideas from human …
reasoning in integrated artificial systems that seeks to leverage ideas from human …
Anticipatory thinking: A metacognitive capability
Anticipatory thinking is a complex cognitive process for assessing and managing risk in
many contexts. Humans use anticipatory thinking to identify potential future issues and …
many contexts. Humans use anticipatory thinking to identify potential future issues and …
Is everything going according to plan? expectations in goal reasoning agents
In part motivated by topics such as agency safety, there is an increasing interest in goal
reasoning, a form of agency where the agents formulate their own goals. One of the crucial …
reasoning, a form of agency where the agents formulate their own goals. One of the crucial …
The problem with problems
For over sixty years, the artificial intelligence and cognitive systems communities have
represented problems to be solved as a combination of an initial state and a goal state along …
represented problems to be solved as a combination of an initial state and a goal state along …
[PDF][PDF] Quotation for real-time metacognition
Meta-reasoning about entities internal to agents themselves (such as their own beliefs) is a
wellrecognized ability, and leads to the need to quantify over propositions or formulas …
wellrecognized ability, and leads to the need to quantify over propositions or formulas …
Rebel agents that adapt to goal expectation failures
Humans and autonomous agents often have differing knowledge about the world, the goals
they pursue, and the actions they perform. Given these differences, an autonomous agent …
they pursue, and the actions they perform. Given these differences, an autonomous agent …
A rebellion framework with learning for goal-driven autonomy
Z Mohammad - 2021 - corescholar.libraries.wright.edu
Modeling an autonomous agent that decides for itself what actions to take to achieve its
goals is a central objective of artificial intelligence. There are various approaches used to …
goals is a central objective of artificial intelligence. There are various approaches used to …