Decision Making Over Combinatorially-Structured Domains
Decision Making Over Combinatorially-Structured Domains
复制标题
组合结构域的决策
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
K. Venable
中科院分区：
文献类型：
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作者：
Andrea Martin;K. Venable
我们考虑的情况下，用户必须作出一组相关的决定，我们提出了一个计算模型的审议过程。我们假设用户通过软约束来表达她的偏好。我们考虑一个顺序的程序，使用决策场理论来模拟每个变量的决策。我们测试这个过程中随机生成的树形模糊约束满足问题。我们的初步结果表明，时间增加几乎在节点的数量。这是有前途的建模决策指数大域。在未来，我们计划将我们的结果与非顺序方法和行为数据进行比较，以评估我们的方法在复杂领域对人类决策进行建模方面的效果，并采用DFT作为将不确定性形式纳入软约束形式主义的一种手段。
We consider a scenario where a user must make a set of correlated decisions and we propose a computational modeling of the deliberation process. We assume the user compactly expresses her preferences via soft constraints. We consider a sequential procedure that uses Decision Field Theory to model the decision making on each variable. We test this procedure on randomly generated tree-shaped Fuzzy Constraint Satisfaction Problems. Our preliminary results showed that the time increases almost in the number of nodes. This is promising in terms of modeling decision over exponentially large domains. In the future, we plan to compare our results non-sequential approach and with behavioral data to asses our approach both in terms of modeling human decision making over complex domains, and adopting DFT as a means of incorporating a form of uncertainty into the soft constraint formalism.