Active Learning and Reasoning in Autonomous Intelligent Agents
A special issue of Future Internet (ISSN 1999-5903).
Deadline for manuscript submissions: closed (20 April 2020) | Viewed by 5209
Special Issue Editors
Interests: multi-agent system; distributed artificial intelligence; autonomous mobile robots; autonomous flying robots
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
For 20 years, autonomous agents have represented a different way of thinking about software architectures for complex systems that have a strong connection with a reference environment. Their objective is to make situated systems behave by making autonomous decisions in order to reach—in an optimal or suboptimal way—a certain goal. Common techniques also included the adoption of several cooperating agents to form a so-called multi-agent system, with the aim of subdividing a big and complex goal into multiple (and less complex) sub-goals that are easier to achieve. In this sense, the aspects related to interaction and cooperation became particularly important, as well as the techniques and approaches used to program the autonomous behaviour of agents.
A fundamental aspect in agent programming is the way in which data coming from the environment is analysed and exploited in order to extract meaningful information, which is useful to plan proper actions leading to goal achievement. In the context of intelligent systems, classical techniques include knowledge-based approaches that use logic representation of data and reasoning; however, in the recent years, learning techniques, introduced in the '80s with the birth of neural networks, have experienced a renaissance thanks to the availability of new neural models and high-performance computing platforms.
On this basis, this Special Issue has the objectives of gathering recent advances in the research of algorithms, approaches, techniques, and tools for the online extraction of meaningful data and letting agents “consciously” behave to reach a certain objective. Papers focusing on both learning approaches and logic-based reasoning are welcome; however, other proposals that include the cited techniques in their work-flow are also strongly encouraged.
We welcome topics including but are not limited to the following:
- On-line learning techniques and algorithms;
- On-line agent-based data analysis approaches;
- Knowledge representation and manipulation;
- Languages and paradigms for reasoning and behaviour programming;
- Applications of intelligent agents in the context of learning-based or knowledge-based systems.
Dr. Corrado Santoro
Prof. Dr. Stefania Monica
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- Intelligent agents
- Multi-agent systems
- Online learning
- Reasoning
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
