International Journal of Artificial Intelligence and Machine Learning (IJAIML)

Submit a Paper to the International Journal of Artificial Intelligence and Machine Learning (IJAIML)

Published Semi-Annually. Est. 2019.
The International Journal of Artificial Intelligence and Machine Learning (IJAIML) provides a forum on the study of living systems intelligence, human level cognition and artificial systems, self-learning algorithms, and machines that exhibit intelligent autonomous behavioral characteristics. Additionally, it seeks to deliver the most up-to-date research on techniques, technologies and algorithms supporting machine learning. Presenting researchers and practitioners with access to explore the developments of bioinspired or human-like forms of systems, IJAIML promotes research in emerging disciplines of artificial life and machine learning to improve and comprehend real-world problems. This journal publishes all concepts, theories, systems, technologies and procedures that exhibit properties, phenomena, or abilities of any living system or human.
ISSN: 2642-1577|EISSN: 2642-1585|DOI: 10.4018/IJAIML
The International Journal of Artificial Intelligence and Machine Learning (IJAIML) provides a forum on the study of living systems intelligence, human level cognition and artificial systems, self-learning algorithms, and machines that exhibit intelligent autonomous behavioral characteristics. Additionally, it seeks to deliver the most up-to-date research on techniques, technologies and algorithms supporting machine learning. Presenting researchers and practitioners with access to explore the developments of bioinspired or human-like forms of systems, IJAIML promotes research in emerging disciplines of artificial life and machine learning to improve and comprehend real-world problems. This journal publishes all concepts, theories, systems, technologies and procedures that exhibit properties, phenomena, or abilities of any living system or human.

Mission

The mission of the International Journal of Artificial Intelligence and Machine Learning (IJAIML) is to investigate the interdisciplinary hybrid nature involved in scientific, engineering, psychological, and social issues in synthetic life-like behavior and abilities. IJAIML publishes high-quality original research and review articles in theoretical and applied aspects of artificial intelligence and machine learning to address complex and dynamic issues in nature and demand complex information processing abilities to be emulated, recreated, and synthesized. Since computer and modeling form the basic tool in scientific research, the frontiers of computer and modeling connected with humanistic systems is one area of interest. The meaningful representation and manipulation of knowledge on computer of human intelligence and human language like the evolving development in soft computing, fuzzy sets, fuzzy logic, semantic networks, probabilistic and Bayesian reasoning, evidence theory, classical and mutli-value logic, and evolutionary operation with neural network and support vector machine are emphasized.


Coverage

  • Adaptive autonomous robots
  • Agent-based systems and modeling
  • Approximate reasoning
  • Artificial computational agent societies
  • Artificial immune systems
  • Automated analytical model building
  • Autonomous cars navigation and dynamic environments
  • Big data and data mining
  • Biologically-inspired computation
  • Biologically-inspired engineering
  • Brain computer interface and intelligent behavior
  • Cellular automata
  • Cognitive intelligence and modeling
  • Complexity theory and chaos
  • Computational intelligence
  • Computational linguistics
  • Computational statistics
  • Computer vision
  • Deep learning techniques
  • Emergence theory
  • Emotional intelligence and modeling
  • Evolutionary algorithms
  • Evolutionary art and music
  • Evolutionary learning and systems
  • Evolutionary robotics
  • Genetic algorithms
  • Genetic programming
  • Human machine interaction
  • Intelligent and learning theory
  • Intelligent autonomous and adaptive agents
  • Intelligent management
  • Intelligent manufacturing
  • Intelligent mapping, localization and tracking
  • Intelligent planning and scheduling
  • Knowledge representation
  • Learning algorithms
  • Machine Learning
  • Modeling, estimation and inference
  • Models of living-system’s behavior and social organization
  • Multi-agent systems and simulation
  • Nature, intelligence and bio-inspiration
  • Neuro-computing
  • Obstacle avoidance in dynamic environment
  • Probabilistic reasoning
  • Soft computing and fuzzy inference
  • Speech analysis and recognition
  • Stochastic optimization
  • Swarm intelligence and swarming behaviors
  • Virtual worlds


Submission

Prospective authors should note that only original and previously unpublished article manuscripts will be considered. Interested authors must consult the Journal Guidelines for Manuscript Submission at http://www.igi-global.com/journals/guidelines-for-submission.aspx PRIOR to submission. Any further questions may be answered at https://www.igi-global.com/publish/contributor-resources/before-you-write/. All article manuscript submissions will be forwarded to at least three members of the editorial review board of the journal for a double-blind peer review. The final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers.


All inquiries should be directed to the attention of:

Maki K. Habib
Editor-in-Chief
International Journal of Artificial Intelligence and Machine Learning (IJAIML)
Email: maki@aucegypt.edu