61 research outputs found

    Spatio-Temporal Reasoning About Agent Behavior

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    There are many applications where we wish to reason about spatio-temporal aspects of an agent's behavior. This dissertation examines several facets of this type of reasoning. First, given a model of past agent behavior, we wish to reason about the probability that an agent takes a given action at a certain time. Previous work combining temporal and probabilistic reasoning has made either independence or Markov assumptions. This work introduces Annotated Probabilistic Temporal (APT) logic which makes neither assumption. Statements in APT logic consist of rules of the form "Formula G becomes true with a probability [L,U] within T time units after formula F becomes true'' and can be written by experts or extracted automatically. We explore the problem of entailment - finding the probability that an agent performs a given action at a certain time based on such a model. We study this problem's complexity and develop a sound, but incomplete fixpoint operator as a heuristic - implementing it and testing it on automatically generated models from several datasets. Second, agent behavior often results in "observations'' at geospatial locations that imply the existence of other, unobserved, locations we wish to find ("partners"). In this dissertation, we formalize this notion with "geospatial abduction problems" (GAPs). GAPs try to infer a set of partner locations for a set of observations and a model representing the relationship between observations and partners for a given agent. This dissertation presents exact and approximate algorithms for solving GAPs as well as an implemented software package for addressing these problems called SCARE (the Spatio-Cultural Abductive Reasoning Engine). We tested SCARE on counter-insurgency data from Iraq and obtained good results. We then provide an adversarial extension to GAPs as follows: given a fixed set of observations, if an adversary has probabilistic knowledge of how an agent were to find a corresponding set of partners, he would place the partners in locations that minimize the expected number of partners found by the agent. We examine this problem, along with its complement by studying their computational complexity, developing algorithms, and implementing approximation schemes. We also introduce a class of problems called geospatial optimization problems (GOPs). Here the agent has a set of actions that modify attributes of a geospatial region and he wishes to select a limited number of such actions (with respect to some budget and other constraints) in a manner that maximizes a benefit function. We study the complexity of this problem and develop exact methods. We then develop an approximation algorithm with a guarantee. For some real-world applications, such as epidemiology, there is an underlying diffusion process that also affects geospatial proprieties. We address this with social network optimization problems (SNOPs) where given a weighted, labeled, directed graph we seek to find a set of vertices, that if given some initial property, optimize an aggregate study with respect to such diffusion. We develop and implement a heuristic that obtains a guarantee for a large class of such problems

    Data Driven Inference in Populations of Agents

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    abstract: In the artificial intelligence literature, three forms of reasoning are commonly employed to understand agent behavior: inductive, deductive, and abductive.  More recently, data-driven approaches leveraging ideas such as machine learning, data mining, and social network analysis have gained popularity. While data-driven variants of the aforementioned forms of reasoning have been applied separately, there is little work on how data-driven approaches across all three forms relate and lend themselves to practical applications. Given an agent behavior and the percept sequence, how one can identify a specific outcome such as the likeliest explanation? To address real-world problems, it is vital to understand the different types of reasonings which can lead to better data-driven inference.   This dissertation has laid the groundwork for studying these relationships and applying them to three real-world problems. In criminal modeling, inductive and deductive reasonings are applied to early prediction of violent criminal gang members. To address this problem the features derived from the co-arrestee social network as well as geographical and temporal features are leveraged. Then, a data-driven variant of geospatial abductive inference is studied in missing person problem to locate the missing person. Finally, induction and abduction reasonings are studied for identifying pathogenic accounts of a cascade in social networks.Dissertation/ThesisDoctoral Dissertation Computer Science 201

    With renewables for energy security

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    Taking into account the possible future exhaustion of fossil energy sources, the actual and near danger of climate change, the drastic increase of the greenhouse gases in the last 200 years, as well as the growing need for sustainable development, consumption and liveable environment, the increasing necessity of renewable energy sources becomes clear. Utilization of these energy sources have to acquire a bigger role in the field of energy supply, in order to enhance the energy security of Hungary, to decline the energy import dependence, to reduce the negative environmental impacts, and to recover the economy. The world’s hunger for energy is growing exponentially; this is why it is crucial to establish feasibility scenarios in the next decades, which are able to meet these expectations, and to increase the safety of the energy supply

    With renewables for energy security

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    Taking into account the possible future exhaustion of fossil energy sources, the actual and near danger of climate change, the drastic increase of the greenhouse gases in the last 200 years, as well as the growing need for sustainable development, consumption and liveable environment, the increasing necessity of renewable energy sources becomes clear. Utilization of these energy sources have to acquire a bigger role in the field of energy supply, in order to enhance the energy security of Hungary, to decline the energy import dependence, to reduce the negative environmental impacts, and to recover the economy. The world’s hunger for energy is growing exponentially; this is why it is crucial to establish feasibility scenarios in the next decades, which are able to meet these expectations, and to increase the safety of the energy supply

    Technological Leap, Statutory Gap, and Constitutional Abyss: Remote Biometric Identification Comes of Age

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    Federal interest in using facial recognition technology (“FRT”) to collect, analyze, and use biometric information is rapidly growing. Despite the swift movement of agencies and contractors into this realm, however, Congress has been virtually silent on the current and potential uses of FRT. No laws directly address facial recognition—much less the pairing of facial recognition with video surveillance—in criminal law. Limits placed on the collection of personally identifiable information, moreover, do not apply. The absence of a statutory framework is a cause for concern. FRT represents the first of a series of next generation biometrics, such as hand geometry, iris, vascular patterns, hormones, and gait, which, when paired with surveillance of public space, give rise to novel questions of law and policy. These technologies constitute what can be termed Remote Biometric Identification (“RBI”). That is, they give the government the ability to ascertain the identity (1) of multiple people, (2) at a distance, (3) in public space, (4) absent notice and consent, and (5) in a continuous and on-going manner. RBI fundamentally differs from what can be understood as Immediate Biometric Identification (“IBI”)--i.e., the use of biometrics to determine identity at the point of arrest, following conviction, or in conjunction with access to secure facilities. IBI, in contrast, tends to be focused (1) on a single individual, (2) close-up, (3) in relation either to custodial detention or in the context of a specific physical area related to government activity, (4) in a manner often involving notice and often consent, and (5) is a one-time or limited occurrence. The types of legal and policy questions raised by RBI significantly differ from those accompanying IBI. In the absence of a statutory framework, we are driven to Constitutional considerations, where the Court’s jurisprudence proves inadequate as a way of addressing the concerns that present in the realm of RBI. The Fourth Amendment’s guarantee to protection against unreasonable search and seizure and the probable cause requirement for the issuance of warrants; the Fifth Amendment’s right against self-incrimination; the First Amendment’s protection of speech and assembly; and the Fifth and Fourteenth Amendments’ due process protections fail to account for the way in which such measures fundamentally challenge the current norms. The article calls for Congressional action and a judicial framing commensurate with the threat posed by these new and emerging technologies

    Affective Justice

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    Since its inception in 2001, the International Criminal Court (ICC) has been met with resistance by various African states and their leaders, who see the court as a new iteration of colonial violence and control. In Affective Justice Kamari Maxine Clarke explores the African Union's pushback against the ICC in order to theorize affect's role in shaping forms of justice in the contemporary period. Drawing on fieldwork in The Hague, the African Union in Addis Ababa, sites of postelection violence in Kenya, and Boko Haram's circuits in Northern Nigeria, Clarke formulates the concept of affective justice—an emotional response to competing interpretations of justice—to trace how affect becomes manifest in judicial practices. By detailing the effects of the ICC’s all-African indictments, she outlines how affective responses to these call into question the "objectivity" of the ICC’s mission to protect those victimized by violence and prosecute perpetrators of those crimes. In analyzing the effects of such cases, Clarke provides a fuller theorization of how people articulate what justice is and the mechanisms through which they do so
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