Default: Adaptive Behavior

ISSN: 1059-7123

Journal Home

Journal Guideline

Adaptive Behavior Q1 Unclaimed

SAGE Publications Ltd United Kingdom
Unfortunately this journal has not been claimed yet. For this reason, some information may be unavailable.

Adaptive Behavior is a journal indexed in SJR in Experimental and Cognitive Psychology and Behavioral Neuroscience with an H index of 59. It has an SJR impact factor of 0,562 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 0,562.

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Scopus WOS
Categories: Philosophy (Q1) Artificial Intelligence (Q3) Behavioral Neuroscience (Q3) Experimental and Cognitive Psychology (Q3)
Price

- €

Inmediate OA

NPD

Embargoed OA

0 €

Non OA

Metrics

Adaptive Behavior

0,562

SJR Impact factor

59

H Index

47

Total Docs (Last Year)

157

Total Docs (3 years)

3218

Total Refs

282

Total Cites (3 years)

126

Citable Docs (3 years)

1.79

Cites/Doc (2 years)

68.47

Ref/Doc

Comments

No comments ... Be the first to comment!



Best articles by citations

Adapting the Environment Instead of Oneself

View more

Economic drivers of biological complexity

View more

Book Review: Enactive theory and the problem of non-sense

View more

Structural knowledge transfer by spatial abstraction for reinforcement learning agents

View more

Radical enactivism, Wittgenstein and the cognitive gap

View more

Associative Learning on a Continuum in Evolved Dynamical Neural Networks

View more

From enactive concern to care in social life: towards an enactive anthropology of caring

View more

From enactive phenomenology to biosemiotic enactivism

View more

Learning Invariant Sensorimotor Behaviors: A Developmental Approach to Imitation Mechanisms

View more

Acquiring Rules for Rules: Neuro-Dynamical Systems Account for Meta-Cognition

View more

Multiple levels of spatial organization: World Graphs and spatial difference learning

View more

The Advantages of Evolving Perceptual Cues

View more
SHOW MORE ARTICLES

An Action-Selection Calculus

View more

Using Optimal Foraging Models to Evaluate Learned Robotic Foraging Behavior

View more

Parental Guidance Suggested: How Parental Imprinting Evolves Through Sexual Selection as an Adaptive Learning Mechanism

View more

Evolution of reflexive signals using a realistic vocal tract model

View more

Interactions with Takashi Gomi

View more

Takashi Gomi and the evolution of embodied AI

View more

Takashi Gomi: a bridge builder in robotics

View more

Affect, Anticipation, and Adaptation: Affect-Controlled Selection of Anticipatory Simulation in Artificial Adaptive Agents

View more

Takashi Gomi: contributor, organizer, interpreter, friend

View more

Takashi Gomi: founder, Applied AI Systems, Inc.

View more

Editorial: Adaptive Behavior's New Adaptations

View more

Synchronization of Internal Neural Rhythms in Multi-Robotic Systems

View more

FAQS