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The Large Hadron Collider presents an unprecedented opportunity to probe the realm of new physics in the TeV region and shed light on some of the core unresolved issues of particle physics. These include the nature of electroweak symmetry breaking, the origin of mass, the possible constituent of cold dark matter, new sources of CP violation needed to explain the baryon excess in the universe, the possible existence of extra gauge groups and extra matter, and importantly the path Nature chooses to resolve the hierarchy problem - is it supersymmetry or extra dimensions. Many models of new physics beyond the standard model contain a hidden sector which can be probed at the LHC. Additionally, the LHC will be a top factory and accurate measurements of the properties of the top and its rare decays will provide a window to new physics. Further, the LHC could shed light on the origin of neutralino masses if the new physics associated with their generation lies in the TeV region. Finally, the LHC is also a laboratory to test the hypothesis of TeV scale strings and D-brane models. An overview of these possibilities is presented in the spirit that it will serve as a companion to the Technical Design Reports (TDRs) by the particle detector groups ATLAS and CMS to facilitate the test of the new theoretical ideas at the LHC. Which of these ideas stands the test of the LHC data will govern the course of particle physics in the subsequent decades.Comment: Summary document for international workshop "Beyond the Standard Model at the LHC" (Pre-SUSY09), Northeastern University, Boston, June 2-4, 200

In this paper, we provide a logical formalization of the emotion triggering process and of its relationship with mental attitudes, as described in Ortony, Clore, and Collins's theory. We argue that modal logics are particularly adapted to represent agents' mental attitudes and to reason about them, and use a specific modal logic that we call Logic of Emotions in order to provide logical definitions of all but two of their 22 emotions. While these definitions may be subject to debate, we show that they allow to reason about emotions and to draw interesting conclusions from the theory.

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International audienceModeling and simulation have long been dominated by equation-based approaches, until the recent advent of agent-based approaches. To curb the resulting complexity of models, Axelrod promoted the KISS principle: “Keep It Simple, Stupid”. But the community is divided and a new principle appeared: KIDS, “Keep It Descriptive Simple”. Richer models were thus developed for a variety of phenomena, while agent cognition still tends to be modelled with simple reactive particle-like agents. This is not always appropriate, in particular in the social sciences trying to account for the complexity of human behaviour. One solution is to model humans as BDI agents, an expressive paradigm using concepts from folk psychology, making it easier for modellers and users to understand the simulation. This paper provides a methodological guide to the use of BDI agents in social simulations, and an overview of existing methodologies and tools for using them

Risk management has become an essential skill for civil engineers. Teaching risk management to engineering students is therefore crucial, but is also challenging: it looks too abstract to students, and practical works are complex and expensive to organise. It also involves interconnected mechanisms coupling human and technical aspects, that are difficult to explain. In order to support risk management teaching, we propose SPRITE, an agent-based serious game using a concrete case study which is exemplary in terms of risk management: the coastal floods on the Oleron Island (France). SPRITE places the player (student) in the role of a local councillor of the Oleron Island, who must ensure the safety and well-being of the island residents, while maximising performance w.r.t. economic and environmental issues, in a context of coastal flood risk. SPRITE is the central piece of a pedagogical sequence which is actually used in risk management courses at Bordeaux University. This paper describes the SPRITE serious game and the underlying agent-based model, and reports on some lessons learnt from its use in a risk management course. Keywords: Serious game, risk management teaching, ABMS share the same case-study, their approach and purpose are completely different. LittoSIM is more realistic and more complex than SPRITE, because it is intended for local authorities, who have a strong knowledge of the Oleron territory. It was not designed for teaching, but to make experts reflect on their strategy for the Island. The difference of target player and objectives led to different modeling and game design choices, making the two models very different. In particular they differ on the available player actions, the user interface, the game rules and objectives, the simulation mechanisms and level of realism, etc. This paper is structured as follows: Section 2 briefly discusses some literature about the use of serious games for teaching in general, and teaching risk management in particular. Section 3 introduces our case study (the coastal flood risk on the Oleron island) and the SPRITE conceptual agent-based model, designed to raise awareness about that risk. Section 4 describes the serious game based on this model, its game design and its implementation. Section 5 introduces the methodology and first results of our evaluation of the use of SPRITE for teaching risk management. Finally, Section 6 concludes and discusses future prospects.

If supersymmetry is observed at the LHC its model parameters can be measured at the electroweak scale. We discuss the expected precision on the parameter determination, including a proper treatment of experimental and theoretical errors. Particular attention is paid to degenerate solutions. Using the SFitter framework we perform a bottom-up reconstruction of the unified parameters at the high scale, including a full error propagation.

OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. Abstract With the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Indeed, cognitive agent architectures face two main obstacles: their complexity for the field-expert modeler, and their computational cost. In this paper, we propose a new cognitive agent architecture based on the BDI (Belief-Desire-Intention) paradigm integrated into the GAMA modeling platform and its GAML modeling language. This architecture was designed to be simple-to-use for modelers, flexible enough to manage complex behaviors, and with low computational cost. An experiment carried out with different profiles of end-users shows that the architecture is actually usable even by modelers who have little knowledge in programming and in Artificial Intelligence.