Exposing the behavioral gambit: the evolution of learning and decision rules
نویسندگان
چکیده
Tim W. Fawcett,a,b,c Steven Hamblin,b and Luc-Alain Giraldeaub aGRIP, Université de Montréal, 3050 Édouard-Montpetit, Montréal (QC) H3T 1J7, Canada bDépartement des Sciences Biologiques, Université du Québec à Montréal, CP 8888, Succ. Centreville, Montréal (QC) H3C 3P8, Canada, and cModelling Animal Decisions (MAD) Group, School of Biological Sciences, University of Bristol, Woodland Road, Bristol BS8 1UG, UK
منابع مشابه
Learning to avoid the behavioral gambit
Fawcett et al. correctly identified a problem: despite repeated calls for a greater integration of psychological and biological approaches, most behavioral ecologists still study the evolution of behavioral strategies rather than the evolution of the learning mechanisms that produce or shape these strategies. The problem is not limited to foraging behavior. Nearly two decades ago, we demonstrat...
متن کاملExperimental evolution, behavior and genetics: Associative learning as a case study
The evolutionary dynamics of behavioral traits reflect phenotypic and genetic changes. Methodological difficulties in analyzing the genetic dynamics of complex traits have left open questions on the mechanisms that have shaped complex behaviors and cognitive abilities. A strategy to investigate the change of behavior across generations is to assume that genetic constraints have a negligible rol...
متن کاملMMDT: Multi-Objective Memetic Rule Learning from Decision Tree
In this article, a Multi-Objective Memetic Algorithm (MA) for rule learning is proposed. Prediction accuracy and interpretation are two measures that conflict with each other. In this approach, we consider accuracy and interpretation of rules sets. Additionally, individual classifiers face other problems such as huge sizes, high dimensionality and imbalance classes’ distribution data sets. This...
متن کاملA non-standard approach to a market with boundedly rational consumers and strategic firms. Part I: A microfoundation for the evolution of sales
In our model, individual consumers follow simple behavioral decision rules based on imitation and habit as suggested in consumer research, social learning , and related fields. Demand can be viewed as the outcome of a population game whose revision protocol is determined by the consumers' behavioral rules. The consumer dynamics are then analyzed in order to explore the demand side and first imp...
متن کاملBlackboxing: social learning strategies and cultural evolution.
Social learning strategies (SLSs) enable humans, non-human animals, and artificial agents to make adaptive decisions aboutwhenthey should copy other agents, andwhothey should copy. Behavioural ecologists and economists have discovered an impressive range of SLSs, and explored their likely impact on behavioural efficiency and reproductive fitness while using the 'phenotypic gambit'; ignoring, or...
متن کامل