Cognitive Systems Research

Cognitive Systems Research - ISSN 1389-0417
Source Normalized Impact per Paper (SNIP): 1.211 Source Normalized Impact per Paper (SNIP):
SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.
SCImago Journal Rank (SJR): 0.429 SCImago Journal Rank (SJR):
SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.
Impact Factor: 1.902 (2019) Impact Factor:
The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
5 Year Impact Factor: 1.744 (2019) Five-Year Impact Factor:
To calculate the five year Impact Factor, citations are counted in 2016 to the previous five years and divided by the source items published in the previous five years.
© 2017 Journal Citation Reports ® (Clarivate Analytics, 2017)
Volumes: Volumes 59-64
Issues: 6 issues
ISSN: 13890417
Editor-in-Chief: Besold

Institutional Subscription

eJournal
This journal does not feature personal pricing and is not available for personal subscription.

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Description



Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial.



The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition.



Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.



Topics of relevance for Cognitive Systems Research include:

  • Action
  • Artificial Life
  • Attention
  • Cognitive architectures
  • Cognitive development, including:
    • Language acquisition
    • Socio-emotional development
    • Self-development
    • Attention and memory
  • Complex systems
  • Concepts and categories
  • Consciousness and the Self (including subjective experiences)
  • Creativity
  • Decision-making
  • Emotion
  • Evolution
  • Goal and value systems
  • Human-computer interaction
  • Hybrid and neural-symbolic systems
  • Intelligent agents
  • Interactive behavior
  • Language and thought
  • Language comprehension and understanding, including:
    • Semantics
    • Pragmatics
  • Learning, including:
    • Curiosity-driven learning
    • Life-long learning
    • Meta-learning
    • Self-regulated learning
    • Skill acquisition
    • Statistical learning
  • Machine learning
  • Memory
  • Meta-Cognition
  • Pattern recognition
  • Perception
  • Problem-solving
  • Reasoning, including:
    • Analogy
    • Case-Based Reasoning
    • Causal Reasoning
    • Commonsense Reasoning
    • Spatial Reasoning
  • Scene and sketch understanding
  • Social cognition
  • Spatial cognition
  • Speech recognition
  • Theory of Mind
  • Theoretical cognitive science, including:
    • Distributed cognition
    • Situated cognition
    • Externally-supported cognition
    • Representation
  • Formal methods applied to the study of cognitive systems, including:
    • Complexity theory
    • Information theory



Additionally, Cognitive Systems Research plays a special role in fostering and promoting the 'BICA Challenge' to create a real-life computational equivalent of the human mind by devoting two special issues to BICA AI (Brain-Inspired Cognitive Architectures for Artificial Intelligence) related topics each year.