Global ETD Search
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Showing 1 to 20 of 20 for “"belief revision"”.
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TOPIC SENSITIVE BELIEF REVISION
When asked to change one's beliefs in the face of new information, or to revise a book given errata, we commonly strive to keep our changes relevant, that is, we try to restrict the beliefs (or chapters) we change to those that bear some content relation to the new information. One kind of …
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Reasoning with model-based belief revision semantics: Theory and implementation
Belief revision semantics appear promising as a definition for the meaning of updates to logical knowledge bases. Numerous model-based belief revision semantics have been proposed in the literature in recent years. It is not at all clear, however, how to translate a proposed model-based semantics …
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The Other Option
… way of relating probability functions and binary beliefs, referred to as odds-threshold method, which is based on comparing the probabilities of the elementary outcomes. Outcome o1 is preferred to outcome o2 if o1 is sufficiently more likely than o2; the agent’s belief-set is the set of mostly …
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In Search of Homo Sociologicus
… is able to show the spreading of knowledge and beliefs in a social network that contains multiple subgroups. Epistemic logic is the study of logical systems that express mathematical properties of knowledge and belief. In recent years, there have been increasing number of new epistemic logic …
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Belief Change in Reasoning Agents
The capability of changing beliefs upon new information in a rational and efficient way is crucial for an intelligent agent. Belief change therefore is one of the central research fields in Artificial Intelligence (AI) for over two decades. In the AI literature, two different kinds of belief change …
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A conditional model of abduction
… in artificial intelligence based on a theory of belief revision, (or the process of expanding, correcting and contracting existing beliefs) which models the dynamics of belief in a given representation. We take seriously the notion that explanations can be constructed from default knowledge and …
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An Empirical Investigation for Patterns of Belief Change in Human Reasoning
… is consistent with non-monotonic logic and belief change. The former refers to models of reasoning where previously drawn conclusions can be retracted when adding new information. The latter refers to the operations of revising and updating a set of beliefs, respectively, when presented with …
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Belief is Messy
Belief is messy; but if we are careful, it can be tamed. This guiding slogan anchors my thesis, which navigates the complexities of belief regarding three central topics: the conditions under which beliefs should be revised, how our inductively justified beliefs are structured, and what our …
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Information selection and belief updating in hypothesis evaluation
… likelihood of evidence with regard to background beliefs. It is argued - in contrast with other views in the literature - that subjects' choice of evidence to test hypotheses is rational allowing for certain constraints on subjects' cognitive representations. The majority of experiments in this …
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Deceptive robots
… situations requires the ability to reason with beliefs. The problem is complicated in adversarial situations because an opponent may employ deception. In this case, an agent must also be able to reason about an opponent's beliefs (nested beliefs) as well as his own beliefs. A system has been …
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Elections with incomplete information
… in repeated elections. The dynamic process of belief revision gives rise to incentives that vary strongly over a politician's career. In particular, candidates become entrenched over time, so, even though they exert little effort, the voter cannot commit to throw incumbents out of office. I …
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Argument revision and its role in dialogue
In this thesis, a model for argument revision is presented, in terms of the expansion and contraction of a system of structured argumentation. At its core, the model uses the belief revision concept of minimal change, but without requiring a pre-determined entrenchment ordering to establish …
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Belief change in probabilistic knowledge representations for open and dynamic computing environments
… network structure. However, in the literature on Belief Change in Probabilis tic Knowledge Representations, theory refinement is only thought of as a change in the model parameters when data consistent with the Network structure is observed. Such Belief Change is not rich enough to capture the …
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Uncertainty-aware Joint Physical Tracking and Prediction
… as during occlusion—alters current and future beliefs about object motion, and introduces an uncertainty-aware framework to model this process. A behavioral experiment was conducted in which participants continuously predicted the future destination of a ball moving in 2.5D environments with …
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Dinámica de conocimiento en sistemas multi-agentes : plausibilidad, revisión de creencias y retransmisión de información
… de creencias con múltiples fuentes (Multi-Source Belief Revision), ya que los agentes pueden recibir información a través de múltiples informantes, los cuales son agentes independientes con sus propios intereses y podrían no ser completamente fiables. Por este motivo, en esta tesis se propone la …
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Changing times : an Iivestigation in probabilistic temporal reasoning
… is another commonsense notion useful for belief revision in the probabilistic framework presented here. The present formalism integrates the above notions within a causal framework. This formalism is used in conjunction with Bayesian networks to perform probabilistic reasoning. We also use …
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Probing the Probabilistic Reasoning and Belief Change Abilities of Preschool-Age Children
… to build and dynamically revise their beliefs. Past literature has generally investigated the belief change abilities of children using deterministic, experimenter-generated evidence in the lab (e.g., Bonawitz et al., 2019; Kimura & Gopnik, 2019; Macris & Sobel, 2017). Little is known …
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Through Smoke and Mirrors of the Post-Truth Era: Knowledge-Driven Generation as Algorithmic Resistance to Misinformation
… of why a claim is false leads to more durable belief revision than mere labeling. Yet the volume at which misinformation spreads online far exceeds the capacity of manual fact-checking, making its automation not merely desirable but necessary. Natural Language Generation (NLG) represents a …
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Learning and restructuring causal concepts
… Experiments 1 and 2 showed that learners’ prior beliefs about the causal relations in a domain affected their hypotheses as they began to infer the correct causes. First, when the prior learning suggested evidence against some of the incorrect causes, this helped learners to focus on the correct …
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From cancer gene expression to protein interaction: Interaction prediction, network reasoning and applications in pancreatic cancer
… expression, BioRevise was implemented. It is a belief revision system where the inhibition behaviour of reactions is modelled using extended logic programming. The system computes a minimal set of enzymes whose malfunction explains the abnormal expression levels of observed metabolites or …