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ACM Transactions on Autonomous and Adaptive Systems (TAAS), Volume 9 Issue 4, January 2015

Property-Driven Design for Robot Swarms: A Design Method Based on Prescriptive Modeling and Model Checking
Manuele Brambilla, Arne Brutschy, Marco Dorigo, Mauro Birattari
Article No.: 17
DOI: 10.1145/2700318

In this article, we present property-driven design, a novel top-down design method for robot swarms based on prescriptive modeling and model checking. Traditionally, robot swarms have been developed using a code-and-fix approach: in a bottom-up...

Reinforcement Learning of Informed Initial Policies for Decentralized Planning
Landon Kraemer, Bikramjit Banerjee
Article No.: 18
DOI: 10.1145/2668130

Decentralized partially observable Markov decision processes (Dec-POMDPs) offer a formal model for planning in cooperative multiagent systems where agents operate with noisy sensors and actuators, as well as local information. Prevalent solution...

AutoPlacer: Scalable Self-Tuning Data Placement in Distributed Key-Value Stores
João Paiva, Pedro Ruivo, Paolo Romano, Luís Rodrigues
Article No.: 19
DOI: 10.1145/2641573

This article addresses the problem of self-tuning the data placement in replicated key-value stores. The goal is to automatically optimize replica placement in a way that leverages locality patterns in data accesses, such that internode...

Multiagent Reinforcement Social Learning toward Coordination in Cooperative Multiagent Systems
Jianye Hao, Ho-Fung Leung, Zhong Ming
Article No.: 20
DOI: 10.1145/2644819

Most previous works on coordination in cooperative multiagent systems study the problem of how two (or more) players can coordinate on Pareto-optimal Nash equilibrium(s) through fixed and repeated interactions in the context of cooperative games....

Distributed Data-Centric Adaptive Sampling for Cyber-Physical Systems
Eun Kyung Lee, Hariharasudhan Viswanathan, Dario Pompili
Article No.: 21
DOI: 10.1145/2644820

A data-centric joint adaptive sampling and sleep scheduling solution, SILENCE, for autonomic sensor-based systems that monitor and reconstruct physical or environmental phenomena is proposed. Adaptive sampling and sleep scheduling can help realize...