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

Degeneracy: a link between evolvability, robustness and complexity in biological systems

A full accounting of biological robustness remains elusive; both in terms of the mechanisms by which robustness is achieved and the forces that have caused robustness to grow over evolutionary time. Although its importance to topics such as ecosystem services and resilience is well recognized, the broader relationship between robustness and evolution is only starting to be fully appreciated. A renewed interest in this relationship has been prompted by evidence that mutational robustness can play a positive role in the discovery of adaptive innovations (evolvability) and evidence of an intimate relationship between robustness and complexity in biology. This paper offers a new perspective on the mechanics of evolution and the origins of complexity, robustness, and evolvability. Here we explore the hypothesis that degeneracy, a partial overlap in the functioning of multi-functional components, plays a central role in the evolution and robustness of complex forms. In support of this hypothesis, we present evidence that degeneracy is a fundamental source of robustness, it is intimately tied to multi-scaled complexity, and it establishes conditions that are necessary for system evolvability

Foundations of Human-Aware Planning -- A Tale of Three Models

abstract: A critical challenge in the design of AI systems that operate with humans in the loop is to be able to model the intentions and capabilities of the humans, as well as their beliefs and expectations of the AI system itself. This allows the AI system to be "human- aware" -- i.e. the human task model enables it to envisage desired roles of the human in joint action, while the human mental model allows it to anticipate how its own actions are perceived from the point of view of the human. In my research, I explore how these concepts of human-awareness manifest themselves in the scope of planning or sequential decision making with humans in the loop. To this end, I will show (1) how the AI agent can leverage the human task model to generate symbiotic behavior; and (2) how the introduction of the human mental model in the deliberative process of the AI agent allows it to generate explanations for a plan or resort to explicable plans when explanations are not desired. The latter is in addition to traditional notions of human-aware planning which typically use the human task model alone and thus enables a new suite of capabilities of a human-aware AI agent. Finally, I will explore how the AI agent can leverage emerging mixed-reality interfaces to realize effective channels of communication with the human in the loop.Dissertation/ThesisDoctoral Dissertation Computer Science 201

Work-Life Reconciliation Policies From Well-Being To Development: Rethinking EU Gender Mainstreaming

Across the European Union (EU), gender policies are cross-cutting initiatives incorporated within the major axes of regional operational programs, and specifically, within active labor-market, local development and inclusion policies. This is the so-called gender mainstreaming across EU Structural Funds, calling for increasing policy instruments integration. The aim of this paper is to understand if and how to improve women’s well-being and subsequently participation in collective action through reconciliation policies. These measures aim to allow women and men to choose how they can reconcile family care, paid work, career advancement, and leisure. The idea is that such a choice implies a time allocation pattern, which is not exclusively determined by market mechanisms and/or policy measures, but also by cultural trajectories, moral values, intrinsic motivations and rules (Folbre, Nelson 2002; North, 2005; Witt 2003), varying across regions and within groups. Furthermore, the outcomes of this choice are not completely internalized as individual well-being but they can also create positive externalities. First, this paper reconstructs reconciliation policies and their governance structures across less-developed regions in Italy (so-called EU Objective 1 areas) within the EU programming phase 2000-2006. Drawing upon this reconstruction, out analysis seeks to account for differences in both contextual conditions and individual characteristics, which, in turn, shape regional development processes. Second, the paper focuses on the design of conciliation policies to unveil what underlying microeconomic premises explain the expected beneficiaries’ behavioural change. Departing from the inadequacy of standard economics, whereby work-life reconciliation would be reduced to a unique choice pattern at the individual level, the paper examines those factors of subjective identities and contextual characteristics that actually affect work-life reconciliation choices, and by this way they can have a development impact (Bowles 1998, Ray, 2000, Sen 1999). In fact, the traditional public choice approach to gender policy may not only perpetuate a male-dominated structure of socioeconomic relations but it may also keep the economy working at a less efficient level. In other words, reconciliation policies may end up reinforcing a path dependent equilibrium of low efficiency, accentuating institutional, economic, social, and cultural traps (Bowles, Durlauf and Hoff 2006). By contrast, our idea is that reconciliation policies can work as development policies as long as they alter current power structures and enhance women capabilities. Building upon this critical review of the existing gender policy framework, we put forward a cognitive framework for work-life reconciliation as a driving force to development.Microeconomic behaviour; Gender Mainstreaming; Intrinsic Motivations; Local Development; Conciliation; Power Structures