Autonomous and Adaptive Systems (TAAS)


Search Issue
enter search term and/or author name


ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Section on Best Papers from SASO 2014 and Regular Articles, Volume 11 Issue 2, July 2016

Section: Special Section on Best Papers from SASO 2014

SASO 2014: Selected, Revised, and Extended Best Papers
Mirko Viroli, Ada Diaconescu, Nagarajan Kandasamy
Article No.: 5
DOI: 10.1145/2939206

The international conference IEEE SASO (Self-Adapting and Self-Organizing Systems) is the main forum for studying and discussing the foundations of a principled approach to engineering systems, networks, and services based on self-adaptation and...

Artificial Immunology for Collective Adaptive Systems Design and Implementation
Nicola Capodieci, Emma Hart, Giacomo Cabri
Article No.: 6
DOI: 10.1145/2897372

Distributed autonomous systems consisting of large numbers of components with no central control point need to be able to dynamically adapt their control mechanisms to deal with an unpredictable and changing environment. Existing frameworks for...

Controlling Negative Emergent Behavior by Graph Analysis at Runtime
Jan Kantert, Sven Tomforde, Melanie Kauder, Richard Scharrer, Sarah Edenhofer, Jörg Hähner, Christian Müller-Schloer
Article No.: 7
DOI: 10.1145/2890507

Self-organized systems typically consist of distributed autonomous entities. An increasing part of such systems is characterized by openness and heterogeneity of participants. For instance, open desktop computing grids provide a framework for...

Section: Special Section on Best Papers from SASO 2014

Modeling Robot Swarms Using Integrals of Birth-Death Processes
Yara Khaluf, Marco Dorigo
Article No.: 8
DOI: 10.1145/2870637

This article investigates the use of the integral of linear birth-death processes in the context of analyzing swarm robotics systems. We show that when a robot swarm can be modeled as a linear birth-death process, well-established results can be...

Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments
Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata
Article No.: 9
DOI: 10.1145/2856424

Self-organization has potential for high scalability, adaptability, flexibility, and robustness, which are vital features for realizing future networks. Convergence of self-organizing control, however, is slow in some practical applications...

Trust-Based Decision Making in a Self-Adaptive Agent Organization
Kamilia Ahmadi, Vicki H. Allan
Article No.: 10
DOI: 10.1145/2839302

Interaction between agents is one of the key factors in multiagent societies. Using interaction, agents communicate with each other and cooperatively execute complex tasks that are beyond the capability of a single agent. Cooperatively executing...

A Support System for Clustering Data Streams with a Variable Number of Clusters
Jonathan de Andrade Silva, Eduardo Raul Hruschka
Article No.: 11
DOI: 10.1145/2932704

Many algorithms for clustering data streams that are based on the widely used k-Means have been proposed in the literature. Most of these algorithms assume that the number of clusters, k, is known and fixed a priori by the...

Distributed Multirobot Formation and Tracking Control in Cluttered Environments
Muhammad Umer Khan, Shuai Li, Qixin Wang, Zili Shao
Article No.: 12
DOI: 10.1145/2910584

In this article, we propose formation control of nonholonomic mobile robots avoiding obstacles in a distributed manner for cluttered environments. The introduction of a virtual robot restructures the formation control problem into a tracking...

A Game-Theoretic Approach for Elastic Distributed Data Stream Processing
Gabriele Mencagli
Article No.: 13
DOI: 10.1145/2903146

Distributed data stream processing applications are structured as graphs of interconnected modules able to ingest high-speed data and to transform them in order to generate results of interest. Elasticity is one of the most appealing features of...

Transparent and Efficient Parallelization of Swarm Algorithms
Franco Cicirelli, Agostino Forestiero, Andrea Giordano, Carlo Mastroianni
Article No.: 14
DOI: 10.1145/2897373

This article presents an approach for the efficient and transparent parallelization of a large class of swarm algorithms, specifically those where the multiagent paradigm is used to implement the functionalities of bioinspired entities, such as...

Group Norms for Multi-Agent Organisations
Huib Aldewereld, Virginia Dignum, Wamberto W. Vasconcelos
Article No.: 15
DOI: 10.1145/2882967

Normative multi-agent systems offer the ability to integrate social and individual factors to provide increased levels of fidelity with respect to modelling social phenomena, such as cooperation, coordination, group decision making, and...