Automated Negotiation for Provisioning Virtual Private Networks Using FIPA-Compliant Agents

This paper describes the design and implementation of negotiating agents for the task of provisioning virtual private networks. The agents and their interactions comply with the FIPA specification and they are implemented using the FIPA-OS agent framework. Particular attention is focused on the design and implementation of the negotiation algorithms

Realising Team-Working in the Field: An Agent-based Approach

Multi-agent systems technology is applied to enable co-operation between mobile workers in the field, minimising user intervention and increasing reachability. A component-based approach is taken to simplify the management of deployed co-operation services. A Personal Assistant running on a mobile device is introduced to show how an intelligent and autonomous agent can increase the utility of users during workforce co-operation processes. Finally, a real world trial of the technology by network installation and maintenance engineers in the UK is described. Some technical issues revealed during the trial are discussed, as is the impact of the technology on the business process

Visualizations for an Explainable Planning Agent

In this paper, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human in the loop decision making. Imposing transparency and explainability requirements on such agents is especially important in order to establish trust and common ground with the end-to-end automated planning system. Visualizing the agent's internal decision-making processes is a crucial step towards achieving this. This may include externalizing the "brain" of the agent -- starting from its sensory inputs, to progressively higher order decisions made by it in order to drive its planning components. We also show how the planner can bootstrap on the latest techniques in explainable planning to cast plan visualization as a plan explanation problem, and thus provide concise model-based visualization of its plans. We demonstrate these functionalities in the context of the automated planning components of a smart assistant in an instrumented meeting space.Comment: PREVIOUSLY Mr. Jones -- Towards a Proactive Smart Room Orchestrator (appeared in AAAI 2017 Fall Symposium on Human-Agent Groups

Broadcast scheduling for mobile advertising

We describe a broadcast scheduling system developed for a precision marketing firm specialized in location-sensitive permission-based mobile advertising using SMS (Short Message Service) text messaging. Text messages containing advertisements were sent to registered customers when they were shopping in one of two shopping centers in the vicinity of London. The ads typically contained a limited-time promotional offer. The company's problem was deciding which ads to send out to which customers at what particular time, given a limited capacity of broadcast time slots, while maximizing customer response and revenues from retailers paying for each ad broadcast. We solved the problem using integer programming with an interface in Microsoft Excel. The system significantly reduced the time required to schedule the broadcasts, and resulted both in increased customer response and revenues

Congressional Lawmaking: A Perspective On Secrecy and Transparency

[Excerpt] Openness is fundamental to representative government. Yet the congressional process is replete with activities and actions that are private and not observable by the public. How to distinguish reasonable legislative secrecy from impractical transparency is a topic that produces disagreement on Capitol Hill and elsewhere. Why? Because lawmaking is critical to the governance of the nation. Scores of people in the attentive public want to observe and learn about congressional proceedings. Yet secrecy is an ever-present part of much legislative policymaking; however, secrecy and transparency are not “either/or” constructs. They overlap constantly during the various policymaking stages. The objectives of this report are four-fold: • first, to outline briefly the historical and inherent tension between secrecy and transparency in the congressional process; • second, to review several common and recurring secrecy/transparency issues that emerged again with the 2011 formation of the Joint Select Deficit Reduction Committee; • third, to identify various lawmaking stages typically imbued with closed door activities; and • fourth, to close with several summary observations. This report will not be updated

Solving DCOPs with Distributed Large Neighborhood Search

The field of Distributed Constraint Optimization has gained momentum in recent years, thanks to its ability to address various applications related to multi-agent cooperation. Nevertheless, solving Distributed Constraint Optimization Problems (DCOPs) optimally is NP-hard. Therefore, in large-scale, complex applications, incomplete DCOP algorithms are necessary. Current incomplete DCOP algorithms suffer of one or more of the following limitations: they (a) find local minima without providing quality guarantees; (b) provide loose quality assessment; or (c) are unable to benefit from the structure of the problem, such as domain-dependent knowledge and hard constraints. Therefore, capitalizing on strategies from the centralized constraint solving community, we propose a Distributed Large Neighborhood Search (D-LNS) framework to solve DCOPs. The proposed framework (with its novel repair phase) provides guarantees on solution quality, refining upper and lower bounds during the iterative process, and can exploit domain-dependent structures. Our experimental results show that D-LNS outperforms other incomplete DCOP algorithms on both structured and unstructured problem instances

Increasing Cultural Participation: An Audience Development Planning Handbook for Presenters, Producers and Their Collaborators

Looks at how people-centered strategies for building public participation in high-quality arts programs can help institutions of varied disciplines and sizes to diversify, broaden, and deepen relationships with their communities

Automatic Service Agreement Negotiators in Open Commerce Environments

There is a steady shift in e‑commerce from goods to services that must be provisioned according to service agreements. This study focuses on software frameworks to develop automated negotiators in open commerce environments. Analysis of the litera‑ ture on automated negotiation and typical case studies led to a catalog of 16 objective requirements and a conceptual model that was used to compare 11 state-of-the-art software frameworks. None of them was well suited for negotiating service agreements in open commerce environments. This motivated work on a reference architecture that provides the foundations to develop negotiation systems that address the previous requirements. A software framework was devised to validate the proposal by means of case studies. The study contributes to the fields of requirements engineering and software design, and is expected to support future efforts of practitioners and researchers because its findings bridge the gap among the existing automated negotiation techniques and lay the founda‑ tions for developing new software frameworksMinisterio de Educación y Ciencia TIN2006–00472Ministerio de Ciencia e Innovación TIN2009–07366Junta de Andalucía P07-TIC-2533 (Isabel)Ministerio de Educación y Ciencia TIN2007–64119Junta de Andalucía P07-TIC-02602Junta de Andalucía P08-TIC-4100Ministerio de Ciencia e Innovación TIN2008–04718-

A canonical theory of dynamic decision-making

Decision-making behavior is studied in many very different fields, from medicine and eco- nomics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptual- ization of what decision-making is and methods for studying it vary greatly and this has resulted in fragmentation of the field. A theory that can accommodate various perspectives may facilitate interdisciplinary working. We present such a theory in which decision-making is articulated as a set of canonical functions that are sufficiently general to accommodate diverse viewpoints, yet sufficiently precise that they can be instantiated in different ways for specific theoretical or practical purposes. The canons cover the whole decision cycle, from the framing of a decision based on the goals, beliefs, and background knowledge of the decision-maker to the formulation of decision options, establishing preferences over them, and making commitments. Commitments can lead to the initiation of new decisions and any step in the cycle can incorporate reasoning about previous decisions and the rationales for them, and lead to revising or abandoning existing commitments. The theory situates decision-making with respect to other high-level cognitive capabilities like problem solving, planning, and collaborative decision-making. The canonical approach is assessed in three domains: cognitive and neuropsychology, artificial intelligence, and decision engineering