Neural bases of impaired decision making process in Alzheimer’s disease

Neural Bases of Judgment and Decision Making

Neuroscience: Impaired Decision-Making in Parkinson’s Disease

When making decisions we combine previously acquired knowledge with the available current information to optimize our choices. A new study shows that Parkinson patients are impaired in using their prior knowledge leading to suboptimal decisions when current information is ambiguous.

Properties of fuzzy relations and aggregation process in decision making

In this contribution connections between input fuzzy relations R1, . . . ,Rn on a set X and the output fuzzy relationRF = F(R1, . . . ,Rn) are studied. F is a function of the form F : [0, 1]n → [0, 1] and RF is called an aggregated fuzzyrelation. In the literature the problem of preservation, by a function F, diverse types of properties of fuzzy relationsR1, . . . ,Rn is examined. Here, it is c...

Using Artificial Neural Networks in NPC Decision- Making Process

The present paper presents the use of ANN (Artifical Neural Networks) in NPC (Non-Player Character) decisionmaking process in RPG (Role-Playing Games) electronic games. It mainly focus on the making of decision of attacking or not a certain opponent by analyzing the NPC and its opponent internal state. Keywordsgames; artifical neural networks; decision-making process; NPC

Convergence in a sequential two stages decision making process

We analyze a sequential decision making process, in which at each stepthe decision is made in two stages. In the rst stage a partially optimalaction is chosen, which allows the decision maker to learn how to improveit under the new environment. We show how inertia (cost of changing)may lead the process to converge to a routine where no further changesare made. We illustrate our scheme with some...