International Journal of Agent Technologies and Systems (IJATS)

International Journal of Agent Technologies and Systems (IJATS)

Now International Journal of Distributed Artificial Intelligence (IJDAI)
Indexed In: INSPEC and 9 more indices
Published: Semi-Annually |Established: 2009
ISSN: 1943-0744|EISSN: 1943-0752|DOI: 10.4018/IJATS
Out of print.


The International Journal of Agent Technologies and Systems (IJATS) focuses on all aspects of agents and multi-agent systems, with a particular emphasis on how to modify established learning techniques and create new learning paradigms to address the many challenges presented by complex real-world problems. The journal serves as an inclusive forum for discussion of theoretical and practical issues of intelligent agent technologies and multi-agent systems while bringing together scientists from different areas of computer science as well as researchers from various fields studying similar concepts.

Topics Covered

  • Agent development environments
  • Agent languages
  • Agent models and architectures
  • Agent-based data mining
  • Agent-based modeling and simulation, tools, and cases
  • Agent-based social simulations
  • Agent-oriented software engineering
  • Agents in Electronic Business and Virtual Organizations
  • Artificial social systems
  • Developmental and cognitive agents
  • Emergent behavior in agents and agent societies
  • Ethical and Legal Issues Pertaining to Agency and Multi-Agent Systems
  • Human-agent interaction, interface agents (agent-based user interfaces), and virtual humans
  • Information Propagation and Exchange in Multi-Agent Systems
  • Inter-agent interaction
  • Knowledge Management and Ontologies
  • Learning in multi-agent systems
  • Multi robot systems
  • Representation in agents modeling other agents and self
  • Representation of agents
  • Robot teams
  • Social and organizational structure in agent societies
  • Software and pervasive agents

Mission and Scope

The mission of the International Journal of Agent Technologies and Systems (IJATS) is to disseminate and discuss high quality research on emerging technologies and successful systems based on the agent and multiagent paradigms. It features innovative findings from various fields of science, engineering, and technology. IJATS is an interdisciplinary journal that brings together researchers from academia, industry, and the government to discuss conceptual issues and implementation of issues using the agent approach in solving real-life problems. As a medium of communication among those researchers and practitioners with interest, the journal explores the benefits of the concepts, simulations, constructions, and applications of agency theories beyond disciplinary boundaries.

Table of Contents and List of Contributors

Search this Journal:
Open Access Articles: Forthcoming
Volume 9: 1 Issue (2017)
Volume 8: 1 Issue (2016)
Volume 7: 3 Issues (2015)
Volume 6: 4 Issues (2014)
Volume 5: 4 Issues (2013)
Volume 4: 4 Issues (2012)
Volume 3: 4 Issues (2011)
Volume 2: 4 Issues (2010)
Volume 1: 4 Issues (2009)
View Complete Journal Contents Listing

Reviews and Testimonials

"This journal provides an opportunity to publish novel results on interesting phenomena of emergent behavior and self-organization in population of agents, and it motivates us to deliberately design new forms of artificial intelligence, embedded in virtual or physical agents, that may eventually be brought to coexistence with biological life."

– Lubica Benuskova, the author of the successful book "Computational Neurogenetic Modeling"


Editorial Board

Editor-in-Chief Emeriti
Saeed Balochian, Gonabad Branch, Islamic Azad University, Iran, Islamic Republic Of
Yu Zhang, Trinity University, United States
International Advisory Board
Mohamed Amine Ferrag, Guelma University, Algeria
Associate Editors
Fernando Barros, University of Coimbra, Portugal
Georgi Stojanov, American University in Paris, France
Haibin Zhu, Nipissing University, Canada
Michel North, Argonne National Laboratory, United States
Virginia Dignum, Delft University of Technology, Netherlands
Wei Chen, Intelligent Automation, Inc., United States
Xiaolin Hu, Georgia State University, United States
Editorial Review Board
Agostino Bruzzone, University of Genoa, Italy
Andras Javor, Budapest University of Technology and Economics, Hungary
Andrej Lucny, Comenius University, Slovakia
Antonio Jorge Filipe Fonseca, ISCTE – University Institute of Lisbon, Portugal
Carole Adam, Grenoble-Alps University, France ORCID
Costin Bădică, University of Craiova, Romania
Dariusz Mikołajewski, Kazimierz Wielki University, Poland
Giovanni Vincenti, University of Baltimore, United States ORCID
Gregory O'Hare, University College Dublin, Ireland
Gulshan Shrivastava, Sharda University, Greater Noida, India, India ORCID
James Braman, Community College of Baltimore County, United States ORCID
Jeffrey Schamburg, Center for Accessions Research (US Army), United States
Jonathan Ozik, Argonne National Laboratory, United States
Julie Dugdale, University Grenoble Alps, France
Luca Ferrari, Nipissing University, Canada
Maksim Tsvetovat, George Mason University, United States
Mario Paolucci, Institute of Cognitive Science and Technology, Italy
Mehdi Dastani, Utrecht University, Netherlands
Mohammad Majid al-Rifaie, Goldsmiths University of London, United Kingdom
Oliver Popov, Stockholm University, Sweden ORCID
Paolo Giorgini, University of Trento, Italy
Paul Davidsson, Blekinge Institute of Technology, Sweden
Rinkaj Goyal, GGS IP University, India
Sergio Bacelar, Instituto Nacional de Estatistica, Portugal
Shah Jamal Alam, University of Michigan, United States
Suzanne Barber, University of Texas at Austin, United States
Xinjun Mao, National University of Defense Technology, China

Award Winning Articles

  • IGI Global’s Sixth Annual Excellence in Research Journal Awards
    An Information Foraging Model of Knowledge Creation and Spillover Dynamics in Open Source ScienceIGI Global’s Sixth Annual Excellence in Research Journal AwardsHonoring outstanding scholarship and innovative research within IGI Global's prestigious journal collection, the Sixth Annual Excellence in Research Journal Awards brings attention to the scholars behind the best work from the 2013 copyright year.