As a model of the planning environment, we propose to use implicit Boolean networks – binary dynamic systems, the transition function of which is defined by the implicit Boolean equation relative to the current state variables vector and some subsequent variables vectors.
Implicit Boolean networks are binary dynamic systems, the transition function of which is defined by an implicit Boolean equation relative to the vector of ...
The way in which animals grasp objects to perform subsequent action execution allows studying their anticipatory abilities. We examined whether 11 capuchin ...
In this study, implicit Boolean networks (IBNs), which are more general than classic BNs, are proposed for the first time motivated by the river-crossing ...
Feb 7, 2019 · Automated Planning (AP) is the branch of Artificial Intelligence pivoted on the formulation of a plan: a series of actions guiding the ...
The heuristic implicit in the plan graph is a refinement of the hmax heuristic; the relation between Graphplan and heuristic search planning will be analyzed ...
Bayesian Networks: find probability over variable given observations . Planning: find action sequence or policy that produces desired state . Answer Set ...
boolean variables and other features have been developed, and planners ... Namely, the model S(P) implicit in a Strips en- coding P does not represent ...
Oct 14, 2020 · Time is a first-class citizen and can be interpreted on different domains. • Discrete-time. • Events happen at discrete steps (e.g. Z).
Jul 17, 2022 · We propose a novel approach for planning agents to compose abstract skills via observing and learning from historical interactions with the ...