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Showing 1 to 9 of 9 for “"inference mechanisms"”.

  1. XML-Based Agent Scripts and Inference Mechanisms

    … Artificial Intelligence field is to implement mechanisms that enable computers to emulate human dialogue. The recently developed ALICEbots, virtual agents with underlying AIML scripts, by A.L.I.C.E. foundation, use AIML scripts - a subset of XML - as the underlying pattern database for question …

    unt Repository record for XML-Based Agent Scripts and Inference Mechanisms (opens in a new tab)

  2. Explorations into the behaviour-oriented nature of intelligence : Fuzzy behavioural maps.

    … these fuzzy control (FBM) rules using fuzzy inference mechanisms and other related implementation parameters (fuzzy sets and fuzzy logic operators). The resulting FBM-FLC architecture controls the behaviour patterns of the agent. Its fuzzy inference mechanisms determine the level of …

    sheffield-hallam Repository record for Explorations into the behaviour-oriented nature of intelligence : Fuzzy behavioural maps. (opens in a new tab)

  3. An adaptive modelling infrastructure for context-aware mobile computing

    … from low level detector context, and fuzzy-based inference mechanisms, (2) support for mobile services that can be dynamically composed and migrated with reference to adaptation requirements for different context situations, (3) support for modelling of adaptation components and entities.

    london-metro Repository record for An adaptive modelling infrastructure for context-aware mobile computing (opens in a new tab)

  4. Integration of Abductive and Deductive Inference Diagnosis Model and Its Application in Intelligent Tutoring System

    … model, Integration of Abductive and Deductive Inference diagnosis model (IADI), in the light of the cognitive processes of human diagnosticians. In contrast with other diagnosis models, that are based on enumerating, tracking and classifying approaches, the IADI diagnosis model relies on …

    odu Repository record for Integration of Abductive and Deductive Inference Diagnosis Model and Its Application in Intelligent Tutoring System (opens in a new tab)

  5. Learning in the social context : inference, exploration and evaluation in early childhood

    … groundwork for a unified account of a rational inference mechanism that underlies this remarkable human faculty to learn so much, so fast, from so little. The first study (Chapter 2) provides evidence that 16-month-old infants can use co-variation information among agents and objects to infer …

    mit Repository record for Learning in the social context : inference, exploration and evaluation in early childhood (opens in a new tab)

  6. Specifying and Verifying Collaborative Behavior in Component-Based Systems

    … are formalized and associated decidable inference mechanisms are developed to determine mutual compatibility and safe refinement of synchronization behavior. More specifically, given generic parameterized collaborations and components with specific roles, mutual compatibility analysis …

    vt Repository record for Specifying and Verifying Collaborative Behavior in Component-Based Systems (opens in a new tab)

  7. Knowledge-rich Bridging Anaphora Resolution

    … using background knowledge and/or sophisticated inference mechanisms. The complexity of bridging resolution is further complicated by the lack of a large corpus annotated with bridging relations: while the most extensively-used coreference-annotated corpus, OntoNotes, contain more than 2000 …

    tdl Repository record for Knowledge-rich Bridging Anaphora Resolution (opens in a new tab)

  8. Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record

    … aims to facilitate the analytical reasoning and inference process of humans by creating machines that maximize a human's ability to 1) reason about, 2) learn, and 3) understand large, complex, and heterogeneous data. Combined human-machine intelligence is a powerful symbiosis of mutual benefit, …

    columbia-diss Repository record for Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record (opens in a new tab)

  9. In the Shadow of Prompts: Adversarial Attacks and Model Cloning in Large Language Models

    <p>Large-language models (LLMs) already power mission critical tasks such as command-and-control chat, satellite ground-station automation, military analytics, and cyber-defense. Since most of these services are offered through application programming interfaces (APIs) that still expose full or …

    embry-riddle Repository record for In the Shadow of Prompts: Adversarial Attacks and Model Cloning in Large Language Models (opens in a new tab)