We review existing approaches to mathematical modeling and analysis of multi-agent systems in which complex collective behavior arises out of local interactions between many simple agents. Though the behavior of an individual agent can be considered to be stochastic and unpredictable, the collective behavior of such systems can have a simple probabilistic description. We show that a class of ma...

Organizational change is vital for an organization to survive and stay competitive. A collective organizational member’s cooperation and commitment are needed in the successful implementation to provide a better service delivery to customers. Measuring organizational readiness for change at an organizational-level is more advantageous because the collective organizational members will more capa...

Negotiation is a process that creates, reinforces, and reduces gender inequality in organizations, yet the study of gender in negotiation has little connection to the study of gender in organizations. We review the literature on gender in job negotiations from psychology and organizational behavior, and propose ways in which this literature could speak more directly to gender inequality in orga...

Pedro Soto-Acosta is Professor at the Department of Management and Finance, University of Murcia, Murcia, Spain. Juan-Gabriel CegarraNavarro is based at the Department of Business Management, Universidad Politécnica de Cartagena, Cartagena, Spain. Abstract Purpose – The purpose of this special issue is to point out the possibilities of new information and communication technologies (ICTs) for k...

E-cognocracy [Moreno-Jiménez, 2003, 2006; Moreno-Jiménez and Polasek, 2003, 2005] is a new democratic system conceived for the purpose of extracting and diffusing the knowledge derived from the scientific resolution of complex problems that arise in the field of public decision making. For both the modelling and resolution of problems and the diffusion of knowledge, e-cognocracy uses multicrite...

In this paper, we review methods used for macroscopic modeling and analyzing collective behavior of swarm robotic systems. Although the behavior of an individual robot in a swarm is often characterized by an important stochastic component, the collective behavior of swarms is statistically predictable and has often a simple probabilistic description. Indeed, we show that a class of mathematical...

This article reports on the influence of neighborhood-level deprivation and collective efficacy on children's antisocial behavior between the ages of 5 and 10 years. Latent growth curve modeling was applied to characterize the developmental course of antisocial behavior among children in the E-Risk Longitudinal Twin Study, an epidemiological cohort of 2,232 children. Children in deprived versus...

Several models of flocking have been promoted based on simulations with qualitatively naturalistic behavior. In this paper we provide the first direct application of computational modeling methods to infer flocking behavior from experimental field data. We show that this approach is able to infer general rules for interaction, or lack of interaction, among members of a flock or, more generally,...

Motivation: In the past years, we and others have developed some basic families of algorithmic components for coping with multiple aspects of learning. It is natural to probe directly into the evolution of intelligence and learning mechanisms and into the problem of distributed intelligence such as collective learning, coordination and competition. In this project, we focus on an agent-based mo...

This article is a theoretical proposal to use the Internet to explore Jung’s concept of the collective unconscious. Recent findings in the field of sociology have shown that real-life social networks can have strong unconscious effects on the behavior of individuals comprising a group. Such complex interactions have led to the need for a new conception of the collective unconscious, one that in...