Connectionists: [CfP] ALA2022: Adaptive and Learning Agents Workshop 2022

[Francisco Cruz]

ALA2022: Adaptive and Learning Agents Workshop 2022
Auckland, New Zealand, May 9-10, 2022 (Virtual)

Workshop website: https://ala2022.github.io/
Submission link: https://easychair.org/conferences/?conf=ala20220
Adaptive and Learning Agents Workshop at AAMAS (Auckland, New Zealand)

https://ala2022.github.io/

Submission deadline: January 30, 2022

Extended versions of all original contributions at ALA 2022 will be
eligible for inclusion in a special issue of the Springer journal Neural
Computing and Applications (Impact Factor 5.606).

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TL;DR:

* Workshop with a long and successful history, now in its thirteenth
edition.
* Covering all aspects of adaptive and learning agents and multi-agent
systems research.
* Open to original research papers, work-in-progress, and visionary outlook
papers, as well as presentations on recently published journal papers.
* ACM proceedings (AAMAS) format up to 8 pages (excluding references) for
original research, up to 6 pages for work-in-progress and outlook papers
(shorter papers are also welcome and will not be judged differently) and 2
pages for recently published journal papers.
* Accepted papers are eligible for inclusion in a post-proceedings journal
special issue.
* Submissions through easychair:
https://easychair.org/my/conference?conf=ala20220

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IMPORTANT DATES:

* Submission Deadline:         January 30, 2022
* Notification of acceptance:  February 27, 2022
* Camera-ready copies:         March 5, 2022
* Workshop:                    May 9 & 10, 2022
* Journal submission deadline: September 15, 2022

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OVERVIEW

Adaptive and learning agents, particularly those interacting with each
other in a multi-agent setting, are becoming increasingly prominent as the
size and complexity of real-world systems grows. How to adaptively control,
coordinate and optimize such systems is an emerging multi-disciplinary
research area at the intersection of Computer Science, Control Theory,
Economics, and Biology. The ALA workshop will focus on agents and
multi-agent systems which employ learning or adaptation.

The goal of this workshop is to increase awareness of and interest in
adaptive agent research, encourage collaboration and give a representative
overview of current research in the area of adaptive and learning agents
and multi-agent systems. It aims at bringing together not only scientists
from different areas of computer science but also from different fields
studying similar concepts (e.g., game theory, bio-inspired control,
mechanism design).

All aspects of adaptive and learning agents and multi-agent systems are on
topic for this workshop, but we will particularly encourage work that
modifies established learning techniques and/or creates new learning
paradigms to address the many challenges presented by complex real-world
problems. The topics of interest include (but are not limited to):

* Novel combinations of reinforcement and supervised learning approaches
* Integrated learning approaches using reasoning modules like negotiation,
trust, coordination, etc.
* Supervised and semi-supervised multi-agent learning
* Reinforcement learning in multi-agent systems
* Novel deep learning approaches for adaptive single and multi-agents
systems
* Human-in-the-loop learning systems
* Planning and Reasoning (single and multi-agent)
* Distributed learning
* Adaptation and learning in dynamic environments
* Evolution and Co-evolution of agents in complex multi-agent environments
* Cooperative exploration
* Learning to cooperate and collaborate
* Learning trust and reputation
* Communication restrictions and their impact on multi-agent coordination
* Design of reward structure and fitness measures for coordination
* Scaling learning techniques to large systems of agents
* Emergent behavior in adaptive multi-agent systems
* Game theoretical analysis of adaptive multi-agent systems
* Neuro-control for adaptation in multi-agent systems
* Bio-inspired multi-agent systems
* Adaptive and learning agents for multi-objective decision making
* Multiple objectives in (multi-)agent systems
* Applications of adaptive and learning (multi-agent) systems to model real
world complex systems

In addition to these topics, this year we are interested in exploring
negative results that can serve as guidelines for early-stage researchers
in the field of adaptive and learning single/multi-agent systems.

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SUBMISSION DETAILS

Papers can be submitted through EasyChair:
https://easychair.org/my/conference?conf=ala20220

We invite submission of original work, up to 8 pages in length (excluding
references) in the ACM proceedings format (i.e. following the AAMAS
formatting instructions). This includes work that has been accepted as a
poster/extended abstract at the AAMAS 2022 conference. Additionally, we
welcome submission of preliminary results, i.e. work-in-progress, as well
as visionary outlook papers that lay out directions for future research in
a specific area, both up to 6 pages in length, although shorter papers are
very much welcome, and will not be judged differently. Finally, we also
accept recently published journal papers in the form of a 2 page abstract.

All submissions will be peer-reviewed (single-blind). Accepted work will be
allocated time for poster and possibly oral presentation during the
workshop.  Extended versions of all original contributions at ALA 2022 will
be eligible for inclusion in a special issue of the Springer journal Neural
Computing and Applications (Impact Factor 5.606). Deadline for submitting
extended papers: September 15, 2022.

We look forward to receiving your submissions,

- The Organizers

Conor F. Hayes (NUI Galway, IE)
Francisco Cruz (Deakin University, AUS)
Fernando P. Santos (University of Amsterdam, NL)
Felipe Leno da Silva (Lawrence Livermore National Lab, USA)

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