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Current and future challenges in knowledge representation and reasoning
Knowledge Representation and Reasoning is a central, longstanding, and active area of
Artificial Intelligence. Over the years it has evolved significantly; more recently it has been …
Artificial Intelligence. Over the years it has evolved significantly; more recently it has been …
Current and Future Challenges in Knowledge Representation and Reasoning (Dagstuhl Perspectives Workshop 22282)
Abstract Knowledge Representation and Reasoning is a central, longstanding, and active
area of Artificial Intelligence. Over the years it has evolved significantly; more recently it has …
area of Artificial Intelligence. Over the years it has evolved significantly; more recently it has …
LTLf synthesis on first-order action theories
Golog is an expressive high-level agent language that includes nondeterministic operators
which allow to leave some of the decisions to be made only at execution time. This so-called …
which allow to leave some of the decisions to be made only at execution time. This so-called …
YODA: yet another agent description language
Multi-Agent Systems (MASs) consist of a large number of entities, or agents, that cooperate
and compete with each other to reach local and global goals. Agents operate immersed in …
and compete with each other to reach local and global goals. Agents operate immersed in …
LTLf Synthesis on First-Order Agent Programs in Nondeterministic Environments
We investigate the synthesis of policies for high-level agent programs expressed in Golog, a
language based on situation calculus that incorporates nondeterministic programming …
language based on situation calculus that incorporates nondeterministic programming …
[PDF][PDF] Projection of belief in the presence of nondeterministic actions and fallible sensing
J Claßen, JP Delgrande - Proceedings of the International …, 2022 - jens-classen.net
We recently presented a Situation Calculus-based framework for modelling an agent who
has incomplete or inaccurate knowledge about its environments, whose actions are …
has incomplete or inaccurate knowledge about its environments, whose actions are …
Optimal Manufacturing Controller Synthesis Using Situation Calculus
In this paper, we discuss a framework for synthesising manufacturing process controllers
using situation calculus, a well-known second-order logic for reasoning about actions in AI …
using situation calculus, a well-known second-order logic for reasoning about actions in AI …
Strategy Synthesis for First-Order Agent Programs over Finite Traces
In this work, we consider the task of synthesizing an execution strategy for an agent from a
high-level description of the initial state of the world, the actions at the agent's disposal, a …
high-level description of the initial state of the world, the actions at the agent's disposal, a …