Modeling Causal Reinforcement and Undermining with Noisy-AND Trees
نویسندگان
چکیده
Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing the effect or can undermine the impact of each other. Most existing causal models do not consider their interactions from the perspective of reinforcement or undermining. We show that none of them can represent both interactions. We present the first explicit causal model that can encode both reinforcement and undermining and we show how to use such a model to support efficient probability elicitation.
منابع مشابه
Non-impeding noisy-AND tree causal models over multi-valued variables
To specify a Bayesian network (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, must be assessed for each node. Its complexity is generally exponential in n. Noisy-OR and a number of extensions reduce the complexity to linear, but can only represent reinforcing causal interactions. Non-impeding noisy-AND (NIN-AND) trees are the first causal models that...
متن کاملGeneralized Non-impeding Noisy-AND Trees
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs assessed for each node. Its complexity is generally exponential in n. Noisy-OR reduces the complexity to linear, but can only represent reinforcing causal interactions. The non-impeding noisy-AND (NIN-AND) tree is the first causal model that explicitly expresses reinforcemen...
متن کاملTowards Effective Elicitation of NIN-AND Tree Causal Models
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs assessed for each node. It generally has the complexity exponential on n. Noisy-OR reduces the complexity to linear, but can only represent reinforcing causal interactions. The non-impeding noisy-AND (NIN-AND) tree is the first causal model that explicitly expresses reinforc...
متن کاملEnumerating Unlabeled and Root Labeled Trees for Causal Model Acquisition
To specify a Bayes net (BN), a conditional probability table (CPT), often of an effect conditioned on its n causes, needs to be assessed for each node. It generally has the complexity exponential on n. The non-impeding noisy-AND (NIN-AND) tree is a recently developed causal model that reduces the complexity to linear, while modeling both reinforcing and undermining interactions among causes. Ac...
متن کاملModeling the Relationship between Perception Management and Social Undermining with the Mediating Role of Organizational Trust and Social Capital in West Azerbaijan University of Medical Sciences
Abstract Background: The use of anticipatory behaviors in the organization can cause negative behaviors such as conflict and reduce the positive behaviors in the organization. Therefore, the purpose of this study was to analyze the relationship between perception management and social undermining, and the mediating role of organizational trust and social capital in West Azerbaijan University o...
متن کامل