We describe some new algorithm and heuristics for computing the polynomial and rational solutions of bounded degree of a class of ordinary differential equations, which includes generalized Riccati equations. As a consequence, our methods can be used for factoring linear ordinary differential

To survive in a world where knowledge is limited, time is pressing, and deep thought is often an unattainable luxury, decision-makers must use bounded rationality. In this precis of Simple heuristics that make us smart, we explore fast and frugal heuristics—simple rules for making decisions

The concept of heuristic decision making is adapted to dynamic influence processes in social networks. We report results of a set of simulations, in which we systematically varied: a) the members ’ strategies for contacting fellow group members and integrating collected information, b

thoughts, like percepts, are highly accessible. Determinants and consequences of accessibility help explain the central results of prospect theory, framing effects, the heuristic process of attribute substitution, and the characteristic biases that result from the substitution of nonextensional

Cognitive-experiential self-theory integrates the cognitive and the psychodynamic unconscious by assuming the ex-istence of two parallel, interacting modes of information processing: a rational system and an emotionally driven experiential system. Support for the theory is provided

this paper we present an algorithm to compute rational solutions of #rst order Riccati equations. Let Q denote the #eld of rational numbers. For a 0 ;a 1 ;a 2 2

We exhibit a large class of simple rules of behavior, which we call adaptive heuristics, and show that they generate rational behavior in the long run. These adaptive heuristics are based on natural regret measures, and may be viewed as a bridge between rational and behavioral viewpoints. Taken

heavy that the gain of deploying them in a search algorithm might be outweighed by their overhead. We propose a rational metareasoning approach to decide when to deploy heuristics, using CSP back-tracking search as a case study. In particular, a value of information approach is taken to adaptive

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depends on heuristics (i.e. extrapolations from the previous election) rather than on rational expectations. The main implication is that strategic voting is possible in large districts. KEY WORDS heuristics multi-member districts rational expectations Spain strategic voting 1.