119,795 research outputs found
Learning in evolutionary environments
Not availabl
Embodied Evolution in Collective Robotics: A Review
This paper provides an overview of evolutionary robotics techniques applied
to on-line distributed evolution for robot collectives -- namely, embodied
evolution. It provides a definition of embodied evolution as well as a thorough
description of the underlying concepts and mechanisms. The paper also presents
a comprehensive summary of research published in the field since its inception
(1999-2017), providing various perspectives to identify the major trends. In
particular, we identify a shift from considering embodied evolution as a
parallel search method within small robot collectives (fewer than 10 robots) to
embodied evolution as an on-line distributed learning method for designing
collective behaviours in swarm-like collectives. The paper concludes with a
discussion of applications and open questions, providing a milestone for past
and an inspiration for future research.Comment: 23 pages, 1 figure, 1 tabl
Adaptive particle swarm optimization
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence speed. The APSO consists of two main steps. First, by evaluating the population distribution and particle fitness, a real-time evolutionary state estimation procedure is performed to identify one of the following four defined evolutionary states, including exploration, exploitation, convergence, and jumping out in each generation. It enables the automatic control of inertia weight, acceleration coefficients, and other algorithmic parameters at run time to improve the search efficiency and convergence speed. Then, an elitist learning strategy is performed when the evolutionary state is classified as convergence state. The strategy will act on the globally best particle to jump out of the likely local optima. The APSO has comprehensively been evaluated on 12 unimodal and multimodal benchmark functions. The effects of parameter adaptation and elitist learning will be studied. Results show that APSO substantially enhances the performance of the PSO paradigm in terms of convergence speed, global optimality, solution accuracy, and algorithm reliability. As APSO introduces two new parameters to the PSO paradigm only, it does not introduce an additional design or implementation complexity
‘The uses of ethnography in the science of cultural evolution’. Commentary on Mesoudi, A., Whiten, A. and K. Laland ‘Toward a unified science of cultural evolution’
There is considerable scope for developing a more explicit role for ethnography within the research program proposed in the article. Ethnographic studies of cultural micro-evolution would complement experimental approaches by providing insights into the “natural” settings in which cultural behaviours occur. Ethnography can also contribute to the study of cultural macro-evolution by shedding light on the conditions that generate and maintain cultural lineages
A Human Information Behavior Approach to a Philosophy of Information
This paper outlines the relation between philosophy of information
(PI) and human information behavior (HIB). In this paper, we first
briefly outline the basic constructs and approaches of PI and HIB. We argue
that a strong relation exists between PI and HIB, as both are exploring
the concept of information and premise information as a fundamental
concept basic to human existence. We then exemplify that a heuristic
approach to PI integrates the HIB view of information as a cognitive human-
initiated process by presenting a specific cognitive architecture for
information initiation based on modular notion from HIB/evolutionary
psychology and the vacuum mechanism from PI.published or submitted for publicatio
Evolutionary connectionism: algorithmic principles underlying the evolution of biological organisation in evo-devo, evo-eco and evolutionary transitions
The mechanisms of variation, selection and inheritance, on which evolution by natural selection depends, are not fixed over evolutionary time. Current evolutionary biology is increasingly focussed on understanding how the evolution of developmental organisations modifies the distribution of phenotypic variation, the evolution of ecological relationships modifies the selective environment, and the evolution of reproductive relationships modifies the heritability of the evolutionary unit. The major transitions in evolution, in particular, involve radical changes in developmental, ecological and reproductive organisations that instantiate variation, selection and inheritance at a higher level of biological organisation. However, current evolutionary theory is poorly equipped to describe how these organisations change over evolutionary time and especially how that results in adaptive complexes at successive scales of organisation (the key problem is that evolution is self-referential, i.e. the products of evolution change the parameters of the evolutionary process). Here we first reinterpret the central open questions in these domains from a perspective that emphasises the common underlying themes. We then synthesise the findings from a developing body of work that is building a new theoretical approach to these questions by converting well-understood theory and results from models of cognitive learning. Specifically, connectionist models of memory and learning demonstrate how simple incremental mechanisms, adjusting the relationships between individually-simple components, can produce organisations that exhibit complex system-level behaviours and improve the adaptive capabilities of the system. We use the term “evolutionary connectionism” to recognise that, by functionally equivalent processes, natural selection acting on the relationships within and between evolutionary entities can result in organisations that produce complex system-level behaviours in evolutionary systems and modify the adaptive capabilities of natural selection over time. We review the evidence supporting the functional equivalences between the domains of learning and of evolution, and discuss the potential for this to resolve conceptual problems in our understanding of the evolution of developmental, ecological and reproductive organisations and, in particular, the major evolutionary transitions
Organic Selection and Social Heredity: The Original Baldwin Effect Revisited
The so-called “Baldwin Effect” has been studied for years
in the fields of Artificial Life, Cognitive Science, and Evolutionary
Theory across disciplines. This idea is often conflated
with genetic assimilation, and has raised controversy
in trans-disciplinary scientific discourse due to the many interpretations
it has. This paper revisits the “Baldwin Effect”
in Baldwin’s original spirit from a joint historical, theoretical
and experimental approach. Social Heredity – the inheritance
of cultural knowledge via non-genetic means in Baldwin’s
term – is also taken into consideration. I shall argue that the
Baldwin Effect can occur via social heredity without necessity
for genetic assimilation. Computational experiments are
carried out to show that when social heredity is permitted with
high fidelity, there is no need for the assimilation of acquired
characteristics; instead the Baldwin Effect occurs as promoting
more plasticity to facilitate future intelligence. The role
of mind and intelligence in evolution and its implications in
an extended synthesis of evolution are briefly discussed
Evolution and Culture
The goal of cross-cultural psychology to identify and explain similarities and differences in the behavior of individuals in different cultures requires linking human behavior to its context (Cole, Meshcheryakov & Ponomariov, 2011). In order to specify this relation, the focus is usually on the sociocultural environment and how it interacts with behavior. Since cross-cultural psychology also deals with the evolutionary and biological bases of behavior, this focus on culture has regularly led to an unbalanced view (Berry, Poortinga, Breugelmans, Chasiotis & Sam, 2011). Too often, biology and culture are seen as opposites: what is labeled as cultural is not biological and what is labeled as biological is not cultural (Chasiotis, 2010, 2011a). This article will first introduce the central concepts of natural and sexual selection, adaptation, and the epigenetic (open) genetic processes in evolutionary biology, and indicate their psychological implications. It will then argue that biology and culture are intricately related. Finally, empirical evidence from diverse psychological research areas will be presented to illustrate why the study of the evolutionary basis is as essential as the analysis of the sociocultural context for the understanding of behavior. Due to space restrictions, cultural transmission will be the only research area which is addressed in more detail (more examples of evolutionary approaches in intelligence, personality, and behavior genetics and their implications for cross-cultural research can be found on the website accompanying Berry et al., 2011; see also further readings section)
- …