Artificial Cognitive and Evolutionary Systems

A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".

Deadline for manuscript submissions: closed (31 August 2020) | Viewed by 2675

Special Issue Editors


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Guest Editor
National Research Council of Italy (CNR), Institute for High Performance Computing and Networking (ICAR), Via Pietro Bucci, 8-9C, 87036 Rende (CS), Italy
Interests: evolutionary computation; complex network analysis and mining; data mining; data streams
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Boise State University, 1910 University Drive, Boise, ID 83725, USA
Interests: artificial intelligence; data science; precision agriculture; cyber security; national security
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
National Research Council of Italy (CNR), Institute for High Performance Computing and Networking (ICAR), Via Pietro Bucci, 8-9C, 87036 Rende, CS, Italy
Interests: Internet of Things; learning (artificial intelligence); energy management systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
ICAR-CNR, Institute of High Performance Computing and Networking of the Italian National Research Council, 87036 Rende, Cosenza, Italy
Interests: Internet of Things and Cyber-Physical Systems; definitions of platforms and methodologies for the design and implementation of cyber-physical systems; distributed algorithms for the efficient management of urban facilities; swarm intelligence and peer-to-peer techniques; and Data Mining; Ambient Intelligence; edge computing; GPU computing; smart cities
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial life studies natural living systems in artificial environments with the aim of understanding the processes underneath their behavioural characteristics. Soft artificial systems try to simulate natural systems and their evolution. In the last few years, interest has been growing in cognitive systems, that is, systems that are able to learn from experience, adapt, hypothesize, and suggest answers to problems. Evolutionary computing is a computational model that draws inspiration from natural evolution. It plays a central role in both artificial life systems and cognitive systems, since it provides powerful techniques to mimic natural processes giving rise to knowledge and cognition.

This Special Issue aims to bring together interdisciplinary approaches that focus on the fundamental and practical issues within the research field of artificial life, evolutionary computing and cognitive computing, and their inter-relations. The Special Issue is devoted to the exploitation of the multiple facets of the above research fields and will explore the current related state-of-the-art. Its topics of interest cover the scope of the XIV International Workshop on Artificial Life and Evolutionary Computation WIVACE 2019 workshop (https://wivace.org/2019/index2019.html). Extended versions of papers presented at WIVACE 2019 are sought, but this call for papers is also fully open to all who want to contribute by submitting a relevant research manuscript.

Dr. Clara Pizzuti
Dr. Edoardo Serra
Dr. Giandomenico Spezzano
Dr. Andrea Vinci
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Bioinspired algorithms
  • Bioinspired robotics
  • Coevolution and collective behavior
  • Complex systems
  • Data-driven self-regulating systems
  • Evolutionary computation
  • Evolutionary approaches to big data and big data streams
  • Evolutionary learning systems
  • Evolutionary agents
  • Modeling and simulation of artificial and biological systems
  • Modeling and simulation of social and economic systems
  • Modeling of business intelligence systems
  • Neural computers
  • Neuroevolution: improving deep learning with evolutionary computation
  • Self-organizing cyber-physical systems
  • Socio-inspired swarm intelligence algorithms
  • Synthetic and systems biology
  • Systems chemistry
  • Theories and applications of artificial life
  • Learning in cognitive systems
  • Cognitive modeling
  • Cognitive analytics
  • Big data-driven cognitive computing
  • Cognitive Internet of Things (IoT)
  • Cognitive vehicles
  • Cognitive (smart) cameras
  • Cognitive robots
  • Cognitive assistants
  • Decision support systems
  • Infrastructures, frameworks, libraries, and APIs for cognitive systems development
  • Information extraction and knowledge representation in cognitive systems
  • Neuromorphic processors and architectures
  • Question answering systems

Published Papers (1 paper)

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15 pages, 1475 KiB  
Article
Exploring the Dynamic Organization of Random and Evolved Boolean Networks
by Gianluca d’Addese, Salvatore Magrì, Roberto Serra and Marco Villani
Algorithms 2020, 13(11), 272; https://doi.org/10.3390/a13110272 - 28 Oct 2020
Cited by 1 | Viewed by 1900
Abstract
The properties of most systems composed of many interacting elements are neither determined by the topology of the interaction network alone, nor by the dynamical laws in isolation. Rather, they are the outcome of the interplay between topology and dynamics. In this paper, [...] Read more.
The properties of most systems composed of many interacting elements are neither determined by the topology of the interaction network alone, nor by the dynamical laws in isolation. Rather, they are the outcome of the interplay between topology and dynamics. In this paper, we consider four different types of systems with critical dynamic regime and with increasingly complex dynamical organization (loosely defined as the emergent property of the interactions between topology and dynamics) and analyze them from a structural and dynamic point of view. A first noteworthy result, previously hypothesized but never quantified so far, is that the topology per se induces a notable increase in dynamic organization. A second observation is that evolution does not change dramatically the size distribution of the present dynamic groups, so it seems that it keeps track of the already present organization induced by the topology. Finally, and similarly to what happens in other applications of evolutionary algorithms, the types of dynamic changes strongly depend upon the used fitness function. Full article
(This article belongs to the Special Issue Artificial Cognitive and Evolutionary Systems)
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