Information-Based Planning and Strategies

The foundations of information-based agency are described, and the principal architectural components are introduced. The agents deliberative planning mechanism manages interaction using plans and strategies in the context of the relationships the agent has with other agents, and is the means by which those relationships develop. Finally strategies are described that employ the deliberative mechanism and manage argumentative dialogues with the aim of achieving the agents goals

Use of information-based strategies in planning and preservation

Thesis (M.C.P.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2005.Includes bibliographical references (p. 69-74).This thesis explores one tool of government action - information - and its influence on local policy and planning. This thesis is not a comprehensive account of information-based strategies, which would require far-reaching analysis. Instead, this thesis explores designation as one example of an information-based strategy that is used in planning and development. Specifically, this thesis explores how the act of designating an area as a national historic site ("designation") can, if at all, influence local policy and planning and, subsequently, shapes our built environment. Using the Blackstone River Valley National Heritage Corridor as a case study, I demonstrate that information strategies such as designation can provide a vital and dynamic planning tool for government. Designation presents a new approach to preservation and development by encouraging dynamic, cross-boundary partnerships that are simultaneously committed to common goals and dynamic enough to respond to the complexities of place. Designation allows local communities to maintain a place-specific approach to planning, while operating within a larger regional network. In the case of the Blackstone River Valley National Heritage Corridor, designation united twenty-four communities across a bi-state region between Massachusetts and Rhode Island. Designation in this region cultivated a coherent and dynamic vision that, when coupled with the organizational structure, can be seen in the physical environment of the Valley. At one scale, this is shown by the reintegration of underused or abandoned structures and the conversion of older structures for new uses.(cont.) At another scale, communities embraced the river as a source for recreation and now promote recreational uses along its shores. At the regional level, communities work to create new regional recreational and interpretive networks. Designation, when used by the Federal government as a tool has the ability to strengthen local governmental bodies as well as society to respond to changes in the economy, culture and environment. Designation as a tool links economic development and cultural programming with preservation efforts within communities and across traditional planning boundaries. Yet, because of a heavy reliance on partnerships, the success of designation as a tool for preservation and development is strongly associated with several key factors relating to the physical, economic and social qualities of place. These include the economic stability of the community, the availability of physical resources for heritage redevelopment, the engagement of the local government, the level of support of the local private sector (both the general public and private sector institutions), and the support and organization of the state.by Danielle M. McCarthy.S.M.M.C.P

Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing

Recent research in multi-robot exploration and mapping has focused on sampling environmental fields, which are typically modeled using the Gaussian process (GP). Existing information-theoretic exploration strategies for learning GP-based environmental field maps adopt the non-Markovian problem structure and consequently scale poorly with the length of history of observations. Hence, it becomes computationally impractical to use these strategies for in situ, real-time active sampling. To ease this computational burden, this paper presents a Markov-based approach to efficient information-theoretic path planning for active sampling of GP-based fields. We analyze the time complexity of solving the Markov-based path planning problem, and demonstrate analytically that it scales better than that of deriving the non-Markovian strategies with increasing length of planning horizon. For a class of exploration tasks called the transect sampling task, we provide theoretical guarantees on the active sampling performance of our Markov-based policy, from which ideal environmental field conditions and sampling task settings can be established to limit its performance degradation due to violation of the Markov assumption. Empirical evaluation on real-world temperature and plankton density field data shows that our Markov-based policy can generally achieve active sampling performance comparable to that of the widely-used non-Markovian greedy policies under less favorable realistic field conditions and task settings while enjoying significant computational gain over them.Comment: 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Extended version with proofs, 11 page

Does accounting for taxes on income provide information about tax planning performance? Evidence from German multinationals

This paper investigates the quality of information on tax planning performance which is provided by financial accounting based on IAS 12 (Income taxes). A simple theoretical investment model is used to show that reported tax expenses can be misleading as an indicator of tax planning performance, since timing effects of tax depreciations are suppressed. However, it is shown that IAS 12 provides meaningful information if tax planning strategies are driven by statutory tax rate differences, e.g. in the case of profit shifting. Our empirical analysis of actual tax planning behaviour, based on a panel of German balance sheet data, suggests that in practice international tax planning is significantly driven by statutory tax rates. However, we find that tax depreciation impacts on the size of investment as well and thus, IAS 12 does not fully disclose tax planning performance. --International Taxation,Financial Accounting,Income Taxes,Firm-level Data

Informative Path Planning for Active Field Mapping under Localization Uncertainty

Information gathering algorithms play a key role in unlocking the potential of robots for efficient data collection in a wide range of applications. However, most existing strategies neglect the fundamental problem of the robot pose uncertainty, which is an implicit requirement for creating robust, high-quality maps. To address this issue, we introduce an informative planning framework for active mapping that explicitly accounts for the pose uncertainty in both the mapping and planning tasks. Our strategy exploits a Gaussian Process (GP) model to capture a target environmental field given the uncertainty on its inputs. For planning, we formulate a new utility function that couples the localization and field mapping objectives in GP-based mapping scenarios in a principled way, without relying on any manually tuned parameters. Extensive simulations show that our approach outperforms existing strategies, with reductions in mean pose uncertainty and map error. We also present a proof of concept in an indoor temperature mapping scenario.Comment: 8 pages, 7 figures, submission (revised) to Robotics & Automation Letters (and IEEE International Conference on Robotics and Automation

Effective use of data in waste strategy planning in the UK

Effective waste strategy planning for sustainable and integrated waste management is predicated on high-quality information. However a review of recent local authority waste strategies in England, part of a research project into effective use of data and analysis in waste strategy planning carried out by researchers at the Open University, showed little evidence of being based on thorough analysis. Lack of good data on many aspects of performance restricts what can be achieved in planning better integrated, more sustainable waste management provision. This paper draws from the results of that project and illustrates improvements that could be achieved by using better quality data and analysis to inform decision making. The research explored the use of various types of information and analysis including compositional analysis and establishing diversion rates; scenario building; applications of geographical information systems; understanding and measuring public participation; the use of trials to collect relevant data; and understanding of the effects of recycling schemes on residual waste composition. The general principals and methodologies of each approach are illustrated by examples derived from the authors’ analysis and interpretation of local authority data provided by case study partners, and show how local data can provide relevant and effective local answers

An Empirical Taxonomy of Tourist Information Search Strategies

An empirical taxonomy of tourists’ information search strategies is developed based on a survey of a large sample of tourists. The taxonomy reveals five different information search strategies. Each search strategy consists of the combination of individual information sources used by tourists in pre-trip planning. The five information search strategies are related to select tourist demographic characteristics, trip activities, accommodation choices, and general media preferences. The results indicate a multivariate relationship between tourist demographics and information search strategies. Furthermore, information search strategies are related to tourists’ preferred trip activities and choice of accommodations. Implications of the taxonomy for tourism marketing and research are discussed