An Intelligence Representation in Agent Systems: An Extended π-Calculus

Intelligent mobile agent technology is one of the most promising of the newer software paradigms for providing solutions to complex, distributed computing problems. Agent properties of autonomy, intelligence and mobility provide a powerful platform for implementations that can utilize techniques involving collaborative problem solving and adaptive behavior. Although the technological tools and capabilities have advanced to this point, research into formal models and extensions to support representations of this new computing paradigm has not been kept pace. Specifically, we find that current formal processing models are lacking in representation abilities for: (1) intelligence capabilities, (2) team-based problem-solving approaches, and (3) mobility. In this paper, we present an extension of π-calculus that addresses the first of these deficiencies, the representation of intelligence

An Inexact Inferencing Strategy for Spatial Objects with Determined and Indeterminate Boundaries

For many years, spatial querying has been of interest for the researchers in the GIS community. Any successful implementation and long-term viability of the GIS technology depends on the issue of accuracy of spatial queries. In order to improve the accuracy and quality of spatial querying, the problems associated with the areas of fuzziness and uncertainty need to be addressed. There has been a strong demand to provide approaches that deal with inaccuracy and uncertainty in GIS. In this paper, we develop an approach that can perform fuzzy spatial querying under uncertainty. An inexact inferencing strategy for objects with determined and indeterminate boundaries is investigated, using type-2 fuzzy set theory

Fuzzy Spatial Querying with Inexact Inference

The issue of spatial querying accuracy has been viewed as critical to the successful implementation and long-term viability of the GIS technology. In order to improve the spatial querying accuracy and quality, the problems associated with the areas of fuzziness and uncertainty are of great concern in the spatial database community. There has been a strong demand to provide approaches that deal with inaccuracy and uncertainty in GIS. In this paper, we are dedicated to develop an approach that can perform fuzzy spatial querying under uncertainty. An inexact inferring strategy is investigated. The study shows that the fuzzy set and the certainty factor can work together to deal with spatial querying. Querying examples implemented by FuzzyClips are also provided

Preliminary Performance Evaluation of an Agent-Based Geospatial Data Conflation System

A rapid growth of available geospatial data requires development of systems capable of autonomous data retrieval, integration and validation. Mobile agent technology may provide a suitable framework for developing such systems since this technology can deal, in a natural way, with the distributed heterogeneous nature of the data. We evaluate our novel multi-agent architecture for geospatial data integration and compare its performance with a client/server and a single-agent architecture. We analyze the performance alteration for various numbers of participating nodes, amount of database accesses, processing loads, and network loads

Robots in special education: reasons for low uptake

Purpose: This paper identifies the main reasons for low uptake of robots in Special Education, obtained from an analysis of previous studies that used robots in the area, and from interviewing Special Education teachers about the topic. Design/methodology/approach: An analysis of 18 studies that used robots in Special Education was performed, and the conclusions were complemented and compared with the feedback from interviewing 13 Special Education teachers from Spain and UK about the reasons they believed caused the low uptake of robots in Special Education classrooms. Findings: Five main reasons why Special Education schools do not normally use robots in their classrooms were identified: the inability to acquire the system due to its price or availability; its difficulty of use; the low range of activities offered; the limited ways of interaction offered; and the inability to use different robots with the same software. Originality/value: Previous studies focused on exploring the advantages of using robots to help children with Autistic Spectrum Conditions and Learning Disabilities. This study takes a step further and looks into the reasons why, despite the benefits shown, robots are rarely used in real-life settings after the relevant study ends. The authors also present a potential solution to the issues found: involving end users in the design and development of new systems using a user-centred design approach for all the components, including methods of interaction, learning activities, and the most suitable type of robots

Controlled Chaos: Organizing and Working with Extant Archaeological Collections

Excavated more than 50 years ago, the Grissom site (45KT301) has yielded a collection of tens of thousands of artifacts housed in 60 archival boxes. Pieced together across several field seasons by dozens of students, the Grissom collection contains many uncertainties. Though many of these were addressed through a rehabilitation of the collection in the mid-2000s and a thesis exploring the history of the investigation, students wishing to complete research on this collection still face a variety of unique challenges, including unclear labels, misfiled artifacts, and compounding transcription errors. Through the work of six students totaling over 300 hours of lab time, many of these issues were identified, articulated, and addressed. This poster summarizes some of the specific concerns one might face when conducting research on collections such as Grissom and discusses how problems were anticipated and addressed, where errors occurred, and how to better prevent such mistakes in the future. The practices discussed here will be useful to any researcher tackling a collection of a similar scale and history and provide a better understanding of how to make the most of a collection and protect it for future use

Probability for chance coincidence of a gamma-ray burst with a galaxy on the sky

The nearby long GRB 060614 was not accompanied by a supernova, challenging the collapsar model for long-duration GRBs and the traditional classification scheme for GRBs. However, Cobb et al. have argued that the association of GRB 060614 and its host galaxy could be chance coincidence. In this work we calculate the probability for a GRB to be randomly coincident with a galaxy on the sky, using a galaxy luminosity function obtained from current galaxy surveys. We find that, with a magnitude limit that current telescopes can reach and an evolving galaxy luminosity function obtained from VVDS, the probability for chance coincidence of a GRB with a galaxy of redshift <1.5 is about several percent. These results agree with previous estimates based on observed galaxies. For the case of GRB 060614, the probability for it to be coincident with a z<0.125 galaxy by angular separation <0.5" is ~0.02%, indicating that the association of GRB 060614 and its host galaxy is secure. If the telescope magnitude limit is significantly improved in future, the probability for GRB-galaxy association will be considerably large, making it very problematic to identify a GRB host based only on the superposition of a GRB and a galaxy on the sky.Comment: 8 pages, 5 figures. Accepted by MNRA

Imagining technology-enhanced learning with heritage artefacts: teacher-perceived potential of 2D and 3D heritage site visualisations

Background: There is much to be realised in the educational potential of national and world heritage sites. Such sites need to be supported in sharing their resources with a wide and international public, especially within formal education. Two-dimensional (2D) and three-dimensional (3D) heritage site visualisations could serve this need. Our study focuses on the teacher-perceived possibilities and benefits for education around such visualisations. Purpose: We describe how a group of UK teachers perceive the potential of cross-curricular learning that could arise from an Italian world heritage site. The teachers commented on 2D visualisations of artefacts from this site, as well as the design of a 3D immersive environment to serve educational purposes. We consider as follows: (1) how the cross-curricular teaching potential of such resources is perceived, and (2) what design features of a 3D immersive environment teachers suggest are needed for educational explorations. Sample: We recruited 10 teachers from the Midlands region of the UK and carried out semi-structured interviews. Methods: Interviews were transcribed and a thematic analysis applied to the conversations. Questioning was grounded in the examination of 2D and 3D visual resources. This provoked cross-curricular and educational design thinking. Results: Teacher responses highlighted a wide range of cross-curricular possibilities. However, they expressed a more ‘assimilative’ than ‘accommodative’ approach when relating resources to the curriculum. Such ‘assimilation’ involved seeing the site artefacts as raw material for more instrumental ‘curriculum activities’ (e.g. within art and design, geography, maths or literacy) rather than a more accommodative approach whereby curricular disciplines were exercised to make new meaning from the artefacts. In relation to 3D technology design, most teachers highlighted three technology features that would render it well matched to educational practice and three educational benefits over non-3D immersive environments. Conclusions: Teachers can easily imagine a rich range of opportunities to utilise 2D and 3D heritage site artefacts within the curriculum. However, the largely assimilative nature of this cross-curricular appropriation suggests the value of providing more guidance and support to teachers in the interpretation and application of artefacts. Their design suggestions can usefully inform construction of educational features within 3D immersive technologies that support heritage site experiences

A multi-targeted approach to suppress tumor-promoting inflammation

Cancers harbor significant genetic heterogeneity and patterns of relapse following many therapies are due to evolved resistance to treatment. While efforts have been made to combine targeted therapies, significant levels of toxicity have stymied efforts to effectively treat cancer with multi-drug combinations using currently approved therapeutics. We discuss the relationship between tumor-promoting inflammation and cancer as part of a larger effort to develop a broad-spectrum therapeutic approach aimed at a wide range of targets to address this heterogeneity. Specifically, macrophage migration inhibitory factor, cyclooxygenase-2, transcription factor nuclear factor-κB, tumor necrosis factor alpha, inducible nitric oxide synthase, protein kinase B, and CXC chemokines are reviewed as important antiinflammatory targets while curcumin, resveratrol, epigallocatechin gallate, genistein, lycopene, and anthocyanins are reviewed as low-cost, low toxicity means by which these targets might all be reached simultaneously. Future translational work will need to assess the resulting synergies of rationally designed antiinflammatory mixtures (employing low-toxicity constituents), and then combine this with similar approaches targeting the most important pathways across the range of cancer hallmark phenotypes

Predictors of Ips confusus Outbreaks During a Record Drought in Southwestern USA: Implications for Monitoring and Management

In many ecosystems the effects of disturbance can be cryptic and disturbance may vary in subtle spatiotemporal ways. For instance, we know that bark beetle outbreaks are more frequent in temperate forests during droughts; however, we have little idea about why they occur in some locations and not others. Understanding biotic and abiotic factors promoting bark beetle outbreaks can be critical to predicting and responding to pest outbreaks. Here we address the environmental factors which are associated with Ips confusus outbreaks during the 2002 widespread drought within the distribution range of pinyon pine woodlands in Arizona. We used univariate statistics to test if whether tree characteristics, other herbivores, stand properties, soil type, wind, and topography were associated with I. confusus outbreak, and logistic regression to create a predictive model for the outbreaks. We found that I. confusus attacks occur in low elevation stands on steeper slopes, where favorable winds for I. confusus dispersion occur. I. confusus select larger trees, in high density stands with understory shrubs that exhibit phenotypic traits characteristic of resistance to stem-boring moths. The model was highly accurate, and explained 95% of the variability in occurrence (98% of the absences and 95% of the presences). Accurate prediction of the impacts of disturbance allow us to anticipate, minimize or mitigate for and eventually counteract its effects, especially those affecting diversity and ecosystem function. Identification of outbreak risk areas can guide regional and national management towards the reduction of infestation risk and enhancing conservation of pinyon-juniper woodlands