A dynamical systems approach to micro spacecraft autonomy

The drive toward reducing the size and mass of spacecraft has put new constraints on the computational resources available for control and decision making algorithms. The aim of this paper is to present alternative methods for decision making algorithms that can be introduced for micro-spacecraft. The motivation behind this work comes from dynamical systems theory. Systems of differential equations can be built to define behaviors which can be manipulated to define an action selection algorithm. These algorithms can be mathematically validated and shown to be computationally efficient, providing robust autonomous control with a modest computational overhead

A Hybrid Three Layer Architecture for Fire Agent Management in Rescue Simulation Environment

This paper presents a new architecture called FAIS for imple- menting intelligent agents cooperating in a special Multi Agent environ- ment, namely the RoboCup Rescue Simulation System. This is a layered architecture which is customized for solving fire extinguishing problem. Structural decision making algorithms are combined with heuristic ones in this model, so it's a hybrid architecture

Using mobile technology to reduce engagement in stereotypy : a validation of decision-making algorithms

We developed an iOS app, the iSTIM, designed to support parents of children with autism spectrum disorders (ASD) in reducing common repetitive vocal and motor behavior (i.e., stereotypy). The purpose of our study was to preliminarily test the decision-making algorithms of the iSTIM using trained university students to implement the assessments and interventions. Specifically, we examined the effects of the iSTIM on stereotypy and functional engagement in 11 children with ASD within alternating treatment designs. Using the iSTIM reduced engagement in stereotypy for 8 participants and increased functional engagement in for 4 of those participants. Our results indicate that the iSTIM may decrease engagement in stereotypy, but that some of the decision-making algorithms may benefit from modifications prior to testing with parents

DSmT Decision-Making Algorithms for Finding Grasping Configurations of Robot Dexterous Hands

In this paper, we present a deciding technique for robotic dexterous hand configurations. This algorithm can be used to decide on how to configure a robotic hand so it can grasp objects in different scenarios. Receiving as input, several sensor signals that provide information on the object’s shape, the DSmT decision-making algorithm passes the information through several steps before deciding what hand configuration should be used for a certain object and task

Linear Partial Monitoring for Sequential Decision-Making: Algorithms, Regret Bounds and Applications

Partial monitoring is an expressive framework for sequential decision-making with an abundance of applications, including graph-structured and dueling bandits, dynamic pricing and transductive feedback models. We survey and extend recent results on the linear formulation of partial monitoring that naturally generalizes the standard linear bandit setting. The main result is that a single algorithm, information-directed sampling (IDS), is (nearly) worst-case rate optimal in all finite-action games. We present a simple and unified analysis of stochastic partial monitoring, and further extend the model to the contextual and kernelized setting

PDB_REDO: constructive validation, more than just looking for errors

The decision-making algorithms and software used in PDB_REDO to re-refine and rebuild crystallographic protein structures in the PDB are presented and discussed