ISSN: 0954-0091

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Connection Science Q2 Unclaimed

Taylor and Francis AS United Kingdom

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Connection Science is a journal indexed in SJR in Software and Artificial Intelligence with an H index of 45. It has a price of 2395 €. It has an SJR impact factor of 0,853 and it has a best quartile of Q2. It is published in English. It has an SJR impact factor of 0,853.

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

0,853

SJR Impact factor

45

H Index

141

Total Docs (Last Year)

96

Total Docs (3 years)

5967

Total Refs

596

Total Cites (3 years)

94

Citable Docs (3 years)

6.62

Cites/Doc (2 years)

42.32

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

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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