Designing Agent Utilities for Coordinated, Scalable and Robust Multi-Agent Systems

Coordinating the behavior of a large number of agents to achieve a system level goal poses unique design challenges. In particular, problems of scaling (number of agents in the thousands to tens of thousands), observability (agents have limited sensing capabilities), and robustness (the agents are unreliable) make it impossible to simply apply methods developed for small multi-agent systems composed of reliable agents. To address these problems, we present an approach based on deriving agent goals that are aligned with the overall system goal, and can be computed using information readily available to the agents. Then, each agent uses a simple reinforcement learning algorithm to pursue its own goals. Because of the way in which those goals are derived, there is no need to use difficult to scale external mechanisms to force collaboration or coordination among the agents, or to ensure that agents actively attempt to appropriate the tasks of agents that suffered failures. To present these results in a concrete setting, we focus on the problem of finding the sub-set of a set of imperfect devices that results in the best aggregate device. This is a large distributed agent coordination problem where each agent (e.g., device) needs to determine whether to be part of the aggregate device. Our results show that the approach proposed in this work provides improvements of over an order of magnitude over both traditional search methods and traditional multi-agent methods. Furthermore, the results show that even in extreme cases of agent failures (i.e., half the agents failed midway through the simulation) the system's performance degrades gracefully and still outperforms a failure-free and centralized search algorithm. The results also show that the gains increase as the size of the system (e.g., number of agents) increases. This latter result is particularly encouraging and suggests that this method is ideally suited for domains where the number of agents is currently in the thousands and will reach tens or hundreds of thousands in the near future

On the Non-Contractual Nature of Donor-Recipient Interaction in Development Assistance

This paper analyses three issues in strategic donor-recipient interaction motivated by the complexity of the rationale underlying aid. The first is when we have several principals with conflicting objectives. Any one principal cannot offer high powered incentives to the agent to carry out their designated task. The second is to do with the fact that effort associated with ensuring aid effectiveness may concern both principal and agent; the optimal solution to which requires difficult to design cooperative behaviour. Consequently, the contractual type principal-agent relationship between donors and recipients is inappropriate. We need to consider models that signal recipient quality or commitment to reform. A simple model of signalling with commitment problems is presented, along with extensions to multiple types of agents and time periods, as well as possible solutions involving mechanism design.aid, conditionality, contracting, signalling quality, mechanism design

Financial regulatory structure and the resolution of conflicting goals

The debate over modernizing the financial structure is raising questions about the merits of modernizing the financial regulatory structure. Regulatory structure is important because an almost unavoidable feature of our current system of government is that Congress assigns multiple goals that sometimes have conflicting policy implications to the regulatory agencies. The structure of the agencies is important to the resolution of these conflicts. Responsibility for two or more goals that have conflicting implications may be assigned to a single agency that is likely to resolve the conflict with a consistent set of policies based on the agency's priorities. Alternatively, the goals may be assigned to more than one agency, an action that often results in the conflicts being debated in the public arena but that may also result in the agencies' implementing inconsistent policies. This paper uses the problem of goal conflicts to provide a framework for evaluating alternative regulatory structures.Banks and banking ; Banking structure

Making intelligent systems team players: Overview for designers

This report is a guide and companion to the NASA Technical Memorandum 104738, 'Making Intelligent Systems Team Players,' Volumes 1 and 2. The first two volumes of this Technical Memorandum provide comprehensive guidance to designers of intelligent systems for real-time fault management of space systems, with the objective of achieving more effective human interaction. This report provides an analysis of the material discussed in the Technical Memorandum. It clarifies what it means for an intelligent system to be a team player, and how such systems are designed. It identifies significant intelligent system design problems and their impacts on reliability and usability. Where common design practice is not effective in solving these problems, we make recommendations for these situations. In this report, we summarize the main points in the Technical Memorandum and identify where to look for further information

Quality of Information in Mobile Crowdsensing: Survey and Research Challenges

Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of inexpensive yet powerful embedded sensors, such as accelerometer, gyroscope, microphone, and camera. This unique combination has enabled revolutionary applications based on the mobile crowdsensing paradigm, such as real-time road traffic monitoring, air and noise pollution, crime control, and wildlife monitoring, just to name a few. Differently from prior sensing paradigms, humans are now the primary actors of the sensing process, since they become fundamental in retrieving reliable and up-to-date information about the event being monitored. As humans may behave unreliably or maliciously, assessing and guaranteeing Quality of Information (QoI) becomes more important than ever. In this paper, we provide a new framework for defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the current state-of-the-art on the topic. We also outline novel research challenges, along with possible directions of future work.Comment: To appear in ACM Transactions on Sensor Networks (TOSN

The Language of Mental Illness

This paper surveys some philosophical issues with the language surrounding mental illness, but is especially focused on pejoratives relating to mental illness. I argue that though 'crazy' and similar mental illness-based epithets (MI-epithets) are not best understood as slurs, they do function to isolate, exclude, and marginalize members of the targeted group in ways similar to the harmfulness of slurs more generally. While they do not generally express the hate/contempt characteristic of weaponized uses of slurs, MI-epithets perpetuate epistemic injustice by portraying sufferers of mental illness as deserving minimal credibility. After outlining the ways in which these epithets can cause harm, I examine available legal and social remedies, and suggest that the best path going forward is to pursue a reclamation project rather than aiming to censure the use of MI-epithets