Papers by Mary-Anne Williams
2018 IEEE 17th International Symposium on Network Computing and Applications (NCA), 2018
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Cornell University - arXiv, Sep 23, 2016
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Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Notwithstanding the extensive work on iterated belief revision, there is, still, no fully satisfa... more Notwithstanding the extensive work on iterated belief revision, there is, still, no fully satisfactory solution within the classical AGM paradigm. The seminal work of Darwiche and Pearl (DP approach, for short) remains the most dominant, despite its well-documented shortcomings. In this article, we make further observations on the DP approach. Firstly, we prove that the DP postulates are, in a strong sense, inconsistent with Parikh's relevance-sensitive axiom (P), extending previous initial conflicts. Immediate consequences of this result are that an entire class of intuitive revision operators, which includes Dalal's operator, violates the DP postulates, as well as that the Independence postulate and Spohn's conditionalization are inconsistent with (P). Lastly, we show that the DP postulates allow for more revision polices than the ones that can be captured by identifying belief states with total preorders over possible worlds, a fact implying that a preference ordering...
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Flexible Query Answering Systems, 2017
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ArXiv, 2020
This paper presents the computational details of our emotion model, EEGS, and also provides an ov... more This paper presents the computational details of our emotion model, EEGS, and also provides an overview of a three-stage validation methodology used for the evaluation of our model, which can also be applicable for other computational models of emotion. A major gap in existing emotion modelling literature has been the lack of computational/technical details of the implemented models, which not only makes it difficult for early-stage researchers to understand the area but also prevents benchmarking of the developed models for expert researchers. We partly addressed these issues by presenting technical details for the computation of appraisal variables in our previous work. In this paper, we present mathematical formulas for the calculation of emotion intensities based on the theoretical premises of appraisal theory. Moreover, we will discuss how we enable our emotion model to reach to a regulated emotional state for social acceptability of autonomous agents. We hope this paper will a...
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Cloud Robotics (CR) is an emerging and successful approach to robotics. The number of robots or o... more Cloud Robotics (CR) is an emerging and successful approach to robotics. The number of robots or other IoT devices may increase drastically in the future which might need enormous bandwidth and there might be security concerns. If robots in CR are not secured then robots can even become surveillance bot by hackers. Moreover, if an internet connection is lost due to network hitches then in that crucial moment robot may not be available to complete its given task. For example, a robot assisting a person can stop working unexpectedly or work with the instructions from hacker. In order to address such problems, we propose a new approach to robotics Fog Robotics (FR) in this paper, so a network of robots can be used more securely and efficiently as compared to CR.
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Cognitive Science, 2017
According to cognitive appraisal theory, emotion in an individual is the result of how a situatio... more According to cognitive appraisal theory, emotion in an individual is the result of how a situation/event is evaluated by the individual. This evaluation has different outcomes among people and it is often suggested to be operationalised by a set of rules or beliefs acquired by the subject throughout development. Unfortunately, this view is particularly detrimental for computational applications of emotion appraisal. In fact, it requires providing a knowledge base that is particularly difficult to establish and manage, especially in systems designed for highly complex scenarios, such as social robots. In addition, according to appraisal theory, an individual might elicit more than one emotion at a time in reaction to an event. Hence, determining which emotional state should be attributed in relationship to a specific event is another critical issue not yet fully addressed by the available literature. In this work, we show that: (i) the cognitive appraisal process can be realised with...
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The policy of rational belief revision is encoded in the so-called AGM revision functions. Such f... more The policy of rational belief revision is encoded in the so-called AGM revision functions. Such functions are characterized (both axiomatically and constructively) within the well-known AGM paradigm, proposed by Alchourrón, Gärdenfors and Makinson. In this article, we show that — although not in a straightforward way — a sufficient extension of the underlying language allows for the modelling of any AGM revision function (defined at the initial language), by means of a Hamming-based rule for belief revision introduced by Dalal (defined at the extended language). The established results enrich the applicability of Dalal’s proposal, leading to a conceptual and ontological reduction, as well as open new doors for the construction of any type of revision function in a practical context, given the intuitive appeal and simplicity of Dalal’s construction.
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An intelligent agent should be able to show different emotional behaviours in different interacti... more An intelligent agent should be able to show different emotional behaviours in different interaction situations to become believable and establish close relationships with human counterparts. It is widely accepted that personality and mood play an important role in modulating emotions. However, current computational accounts of emotion for intelligent agents do not effectively integrate the notions of personality and mood in the process of emotion generation. Previous attempts that have been made are mostly based on the assumptions of the researcher, rather than on empirical data and scientific validation. In this paper, we present the results of a novel supervised machine learning approach used to train a network of emotions that integrates the factors of personality and mood, which provides a high emotion intensity prediction accuracy. ACM Reference Format: Suman Ojha, Jonathan Vitale, Syed Ali Raza, Richard Billingsley, and MaryAnne Williams. 2019. Integrating Personality and Mood...
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Journal of Artificial Intelligence Research, 2019
In this article, the epistemic-entrenchment and partial-meet characterizations of Parikh's re... more In this article, the epistemic-entrenchment and partial-meet characterizations of Parikh's relevance-sensitive axiom for belief revision, known as axiom (P), are provided. In short, axiom (P) states that, if a belief set $K$ can be divided into two disjoint compartments, and the new information $\varphi$ relates only to the first compartment, then the revision of $K$ by $\varphi$ should not affect the second compartment. Accordingly, we identify the subclass of epistemic-entrenchment and that of selection-function preorders, inducing AGM revision functions that satisfy axiom (P). Hence, together with the faithful-preorders characterization of (P) that has already been provided, Parikh's axiom is fully characterized in terms of all popular constructive models of Belief Revision. Since the notions of relevance and local change are inherent in almost all intellectual activity, the completion of the constructive view of (P) has a significant impact on many theoretical, as well a...
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Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, Aug 1, 2017
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2017 IEEE International Conference on Real-time Computing and Robotics (RCAR), Jul 1, 2017
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International Journal of Social Robotics, 2017
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Lecture Notes in Computer Science, 1999
Abstract. In this paper, we identify that failure to cater for the various forms of heterogeneity... more Abstract. In this paper, we identify that failure to cater for the various forms of heterogeneity is one of the major drawbacks of the previous re-search on multi-agent belief revision(MABR). Three major categories of heterogeneity, namely social, semantic eind syntactic ...
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Studies in Language Companion Series, 2007
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Lecture Notes in Computer Science
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Lecture Notes in Computer Science, 2001
Abstract. In the current highly competitive era of e-commerce, many firms are focusing their atte... more Abstract. In the current highly competitive era of e-commerce, many firms are focusing their attention on forging and nurturing customer relationships. Businesses not only need to discover and capitalize actionable marketing intelligence but they also need to manipulate this valuable ...
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Robotics: State of the Art and Future Challenges, 2008
... team members were: Robert Ambrose, NASA Johnson Space Center George Bekey, University of ... more ... team members were: Robert Ambrose, NASA Johnson Space Center George Bekey, University of Southern California (Chair) Vijay Kumar, University of ... While there are significant works in robotics in other countries (such as Belgium, China, Russia, and others) the itinerary ...
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Lecture Notes in Computer Science, 2004
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Papers by Mary-Anne Williams