ISSN: 0954-0091

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Connection Science Q2 Unclaimed

Taylor and Francis A.S. United Kingdom

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Connection Science is a journal indexed in SJR in Software and Artificial Intelligence with an H index of 49. It has a price of 2395 €. It has an SJR impact factor of 0,763 and it has a best quartile of Q2. It is published in English. It has an SJR impact factor of 0,763.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Artificial Intelligence (Q2) Human-Computer Interaction (Q2) Software (Q2)

Price

2395 €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

0,763

SJR Impact factor

49

H Index

92

Total Docs (Last Year)

213

Total Docs (3 years)

3904

Total Refs

881

Total Cites (3 years)

212

Citable Docs (3 years)

4.23

Cites/Doc (2 years)

42.43

Ref/Doc

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Aims and Scope

Best articles by citations

A real-time robotic model of human reference resolution using visual constraints

Connectionist learning of regular graph grammars

Evolutionary Robotics: Exploiting the Full Power of Self-organization

Self-organization of Multiple Winner-take-all Neural Networks

Where infants look when impossible things happen: simulating and testing a gaze-direction model

Elegant Stepping: A Model of Visually Triggered Gait Adaptation

A Neural Network Construction Algorithm which Maximizes the Likelihood Function

Towards Genetically Evolved Dynamic Control for Quadruped Locomotion

Book review

The use of confidence measures to enhance combination strategies in multi-network neuro-fuzzy systems

Cognition and the computational power of connectionist networks

Dynamic Update of the Reinforcement Function During Learning

SHOW MORE ARTICLES

Complex Connectionist Dynamics and the Limited Complexity of the Resulting Functions

Shaping: A multiple contingencies analysis and its relevance to behaviour-based robotics

Shaping: The Link Between Rats and Robots

Artificial motives: A review of motivation in artificial creatures

Constituent similarity and systematicity: The limits of first-order connectionism

Dynamics of Noisy Neural Nets with Chemical Markers and Gaussian-distributed Connectivities

Are Feedforward and Recurrent Networks Systematic? Analysis and Implications for a Connectionist Cognitive Architecture

Hybridization and Specialization of Real-time Recurrent Learning-based Neural Networks

Combining Boolean Neural Architectures for Image Recognition

An exploration of a new paradigm for weightless RAM-based neural networks

Adaptation of Learning Rule Parameters Using a Meta Neural Network

A behaviour instantiation agent architecture