26 research outputs found

    A new approach to social behavior simulation: the mask model

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    This paper proposes a new perspective, based on the concept of social masks, for the simulation of a realistic NPC (Non-Player Character) behavior. The Mask Model goal is to support AI techniques for autonomous agents by encouraging or discouraging behaviors according to the social environment and by providing knowledge about possible reactions to the agent actions. In this approach, the NPC tendencies are controlled by the interactions of three overlapping mask layers: self- perception layer, social layer and interpersonal layer. The masks mould the tendencies, the feelings and the ethics of a NPC. By changing the links between characters and masks, a wide variety of different behaviors and story-lines may arise. The paper present an algorithm for the selection of the actions and an example implementation

    Changing word usage predicts changing word durations in New Zealand English

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    This paper investigates the emergence of lexicalized effects of word usage on word duration by looking at parallel changes in usage and duration over 130 years in New Zealand English. Previous research has found that frequent words are shorter, informative words are longer, and words in utterance-final position are also longer. It has also been argued that some of these patterns are not simply online adjustments, but are incorporated into lexical representations. While these studies tend to focus on the synchronic aspects of such patterns, our corpus shows that word-usage patterns and word durations are not static over time. Many words change in duration and also change with respect to frequency, informativity and likelihood of occurring utterance-finally. Analysis of changing word durations over this time period shows substantial patterns of co-adaptation between word usage and word durations. Words that are increasing in frequency are becoming shorter. Words that are increasing/decreasing in informativity show a change in the same direction in duration (e.g. increasing informativity is associated with increasing duration). And words that are increasingly appearing utterance-finally are lengthening. These effects exist independently of the local effects of the predictors. For example, words that are increasing utterance-finally lengthen in all positions, including utterance-medially. We show that these results are compatible with a number of different views about lexical representations, but they cannot be explained without reference to a production-perception loop that allows speakers to update their representations dynamically on the basis of their experience

    Efficacy of lethal-trap devices to improve the welfare of trapped wild dogs

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    Context. Wildlife and pest managers and stakeholders should constantly aim to improve animal-welfare outcomes when foot-hold trapping pest animals. To minimise stress and trauma to trapped animals, traps should be checked at least once every 24 h, normally as soon after sunrise as possible. If distance, time, environmental or geographical constraints prevent this, toxins such as strychnine can be fitted to trap jaws to induce euthanasia. However, strychnine is considered to have undesirable animal-welfare outcomes because animals are conscious while clinical signs of intoxication are present. A toxin considered more humane, para-aminopropiophenone (PAPP), is available to induce euthanasia in trapped animals but is untested for presentation and efficacy.Aim. We tested the efficacy of two types of lethal trap device (LTD's), each using a paste formulation of PAPP as the active toxin to replace the use of strychnine on foot-hold jaw traps.Methods. Elastomer LTDs and PAPP-cloths were fitted to jaw traps set to capture wild dogs (Canis familiaris). Camera-trap data was used to record animal behaviours after capture and to determine the efficacy of both modalities.Key results. Every trapped wild dog (n = 117) gnawed at the elastomer LTD's or PAPP-cloth attached to the trap jaws that restrained them; one dog failed to liberate the toxin. From the dogs caught in the main trial (n = 56), a mortality rate of 84% and 87% was reported respectively. The mean time from trap-to-death for elastomer LTDs was 64 min and 68 min for PAPP-cloths.Conclusions. Elastomer LTDs and PAPP cloths combined caused the mortality of 85% of captured dogs. This efficacy could be improved by adopting the recommendations discussed in the present study for deploying PAPP-based LTDs during trap deployment.Implications. PAPP-based LTDs offer an alternative option to the use of strychnine and improve the welfare outcomes for trapped predators, especially where traps are not checked within the recommended 24-h period

    Preface

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    Planning and Scheduling is the field of Artificial Intelligence that is concerned with all aspects of the system-supported or fully automated synthesis, execution, and monitoring of courses of actions, activities, and tasks. With that, it provides a technology for increasing the autonomy of systems by making them more flexible, robust, and adaptive. Consequently, it has a particularly large application potential in a variety of industrial and administrative areas including the growing e-business and ework sectors. This road map document aims to take stock of current exploitation of the technology and points out future research and development steps for both improving the technology in current applications and widening the spectrum of future ones. The road map is joint work by members of PLANET, the European Network of Excellence in AI Planning – funded by the European Union under the Esprit programme from October 1998 to December 2000. The road map addresses a number of themes under the global view of aiming to extend the exploitation of the technology far beyond the current stage. To this end, two main aspects are considered: further technological developments required and a number of key application areas for various industrial and business sectors
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