return item in [var.name for var in self.variables] return false 定义因子操作。 def normalize_(self): """标准化""" s = sum(p for p in self.__table.values()) for k in self.__table.keys(): self.__table[k] /= s return self def probability(self, assignment): # type: (Facto...
π = solve(NashEquilibrium(), 𝒢)returnTuple(argmax(πi.p)forπiinπ) endfunctionprune_dominated!(Π, 𝒫::POMG)done=falsewhile!donedone=trueforiinshuffle(𝒫.ℐ)forπiinshuffle(Π[i])iflength(Π[i]) > 1 && is_dominated(𝒫, Π, i, πi) filter!(πi′ -> πi′ ≠π...
def __infer_exact_variable_elimination(self, queries, evidences, kwargs): # type: (BayesianNetwork, list[str], dict[str, int], dict) -> Factor """精确概率推断,变量消元""" fs = [f.condition(evidences) for f in self.factors] # 全部根据证据变量条件化 ordering = kwargs.get('ordering...
In this paper, the decision-making process in the experimental group was investigated. A comparison of results was made for the cases when the group is divided into sub-groups that include participants with closed parameters of thinking structure and when all group members work separately. The ...
Linear reinforcement learning in planning, grid fields, and cognitive control Models of decision making have so far been unable to account for how humans’ choices can be flexible yet efficient. Here the authors present a linear reinforcement learning model which explains both flexibility, and rare...
central to the system of decisions that affects us, we are cast out in to its environment. We have progressively restricted our owndecision-making capacity and allowed algorithms to take over. We have become artificial humans, or human artefacts, that are created, shaped and used by the ...
Heterogeneous smart connected devices and processes across industrial monitoring interact in product decision-making information systems. Industrial cyber-physical systems are pivotal in sustainable smart manufacturing, by integrating control engineering with artificial intelligence-based decision-making algorithms ...
AI algorithms can help sharpen decision-making, make predictions in real time and save companies hours of time by automating key business workflows. They can bubble up new ideas and bring otherbusiness benefits-- but only if organizations understand how they work, know which type is best suited...
the kinds of trade-offs that are made in decision-making using algorithms. In research to explore these two issues, we developedan algorithm gameusing participatory methodologies to involve diverse stakeholders in the research. The process becomes a form of collective experimentation to encourage new ...
This study provides the first representative analysis of error estimations and willingness to accept errors in a Western country (Germany) with regards to algorithmic decision-making systems (ADM). We examine people’s expectations about the accuracy of