In healthcare systems, one of the important actions is related to perishable products such as red blood cells (RBCs) units that its consumption management in different periods can contribute greatly to the optimality of the system. In this paper, main goal is to enhance the ability of medical community to organize the RBCs units’ consumption in way to deliver the unit order timely with a focus ...

A large class of problems of sequential decision-making can be modeled as Markov or Semi-Markov Decision Problems, which can be solved by classical methods of dynamic programming. However, the computational complexity of the classical MDP algorithms, such as value iteration and policy iteration, is prohibitive and will grow intractably with the size of problems. Furthermore, they require for ea...

Cooperative transport of large food loads by Paratrechina longicornis ants demands repeated decision-making. Inspired the Evidence Accumulation (EA) model classically used to describe decision-making in brain, we conducted a binary choice experiment where carrying rely on social information choose between two paths. We found that carried load performs biased random walk continuously alternates ...

Nonstationary Sequential Decision Making Samuel P. M. Choi, Dit-Yan Yeung, and Nevin L. Zhang Department of Computer Science, Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong fpmchoi,dyyeung,[email protected]

Reasoning with declarative knowledge (RDK) and sequential decision-making (SDM) are two key research areas in artificial intelligence. RDK methods reason domain knowledge, including commonsense that is either provided a priori or acquired over time, while SDM (probabilistic planning [PP] reinforcement learning [RL]) seek to compute action policies maximize the expected cumulative utility time h...

Probabilistic and possibilistic models of sequential decision problems are known to possess good behavioral algorithmic properties. In this paper, the range under uncertainty that dynamically consistent, consequentialist allow for tree reduction is enlarged by considering a representation both probabilistic possibilistic. The corresponding utility functional expected highly likely states, an op...