Search results for " rationality"

Towards an Agent-Based Model for the Analysis of Macroeconomic Signals

2020

This work introduces an agent-based model for the analysis of macroeconomic signals. The Bottom-up Adaptive Model (BAM) deploys a closed Walrasian economy where three types of agents (households, firms and banks) interact in three markets (goods, labor and credit) producing some signals of interest, e.g., unemployment rate, GDP, inflation, wealth distribution, etc. Agents are bounded rational, i.e., their behavior is defined in terms of simple rules finitely searching for the best salary, the best price, and the lowest interest rate in the corresponding markets, under incomplete information. The markets define fixed protocols of interaction adopted by the agents. The observed signals are em…

A Bacterial-Based Algorithm to Simulate Complex Adaptative Systems

2014

Paper presented at the 13th International Conference on Simulation of Adaptive Behavior which took place at Castellón, Spain in 2014, July 22-25. Bacteria have demonstrated an amazing capacity to overcome envi-ronmental changes by collective adaptation through genetic exchanges. Using a distributed communication system and sharing individual strategies, bacteria propagate mutations as innovations that allow them to survive in different envi-ronments. In this paper we present an agent-based model which is inspired by bacterial conjugation of DNA plasmids. In our approach, agents with bounded rationality interact in a common environment guided by local rules, leading to Complex Adaptive Syste…

Multitasking in Driving as Optimal Adaptation Under Uncertainty

2021

Objective The objective was to better understand how people adapt multitasking behavior when circumstances in driving change and how safe versus unsafe behaviors emerge. Background Multitasking strategies in driving adapt to changes in the task environment, but the cognitive mechanisms of this adaptation are not well known. Missing is a unifying account to explain the joint contribution of task constraints, goals, cognitive capabilities, and beliefs about the driving environment. Method We model the driver’s decision to deploy visual attention as a stochastic sequential decision-making problem and propose hierarchical reinforcement learning as a computationally tractable solution to it. The…

Intenzionalità collettiva, ontologia sociale e mindreading

2014

In his Collective Intentions and Actions John Searle argued that having a preintentional sense of others as at least potentially cooperative agents “like me” is a necessary condition of collective intentionality. He also argued, in Rationality in Action, that understanding others qua intentional agents necessarily presupposes rationality because rational constraints are built into the logical structure of intentional phenomena. In this paper we will try to specify further these claims in the light of current debate on mindreading, where other-understanding is spelled out either in terms of automatic, subpersonal simulative mechanisms, or in terms of normative, rational principles. We will a…

Existence and Communication: Challenge of the Times

2005

Untangling knowledge fields and knowledge dynamics within the decision-making process

2020

PurposeThe purpose of this paper is to analyse the influences of different types of knowledge and their inherent dynamics on the effectiveness of the decision-making (DM) process. Knowledge dynamics (KD) is envisioned through the lens of the knowledge fields theory while effective DM process is objectivised via organisational appreciation and reward, higher business performance, sustainable partnerships and managerial satisfaction with previous achievements.Design/methodology/approachA questionnaire-based survey was conducted with 275 middle managers from companies operating in the business consulting field. The conceptual and structural model was tested using the partial least squares stru…

Conceptual and Paradigmatic Foundations of ISD

1995

An evolutionary model of voting

2001

Collective allocation of resources that takes place in po- litical markets is characterized by the complex exchange that emerges among the individuals involved. Traditional Public Choice models de- part from individual rational choice in a setup in which many of its strict requirements need not hold. This paper introduces a model of social interaction among agents in a simple political market which de- parts from bounded rationality and evolutionary dynamics as the key mechanisms that drive individual behavior. Learning plays a signicant role as it allows to establish an individual link between decisions and collective outcomes. The model is that of a representative democracy with two parti…

Críticas inmanentes al pensamiento de Jürgen Habermas: la teoría de la lucha por el reconocimiento y la ética de la razón cordial

2020

El presente articulo trata de presentar los modelos teoricos de Axel Honneth y Adela Cortina —teoria de la lucha por el reconocimiento y etica de la razon cordial, respectivamente— como una respuesta critica a algunas deficiencias localizadas en la teoria de la accion comunicativa y la etica del discurso habermasiana. Tras exponer los elementos mas importantes de los modelos de Habermas, sistematizare algunos de los problemas fundamentales que se derivan de ellos. En segundo lugar, reconstruire el significado de la teoria de la lucha por el reconocimiento en el sentido de una superacion de la dicotomica separacion habermasiana entre sistema y mundo de la vida ; para realizar, en tercer luga…

Inferring Cognitive Heterogeneity From Aggregate Choices

2020

Theories of bounded rationality often assume a rich dataset of choices from many overlapping menus, limiting their practical applicability. In contrast, we study the problem of identifying the distribution of cognitive characteristics in a population of agents from a minimal dataset that consists of aggregate choice shares from a single menu, and includes no observable covariates of any kind. With homogeneous preferences, we find that “consideration capacity” and “consideration probability” distributions can both be recovered effectively if the menu is sufficiently large. This remains true generically when tastes are heterogeneous with a known distribution. When the taste distribution is un…