Customizing Urban Pattern through an Agent-Based Approach

2014 ◽  
Vol 5 (4) ◽  
pp. 33-44
Author(s):  
Salman Khalili Araghi ◽  
Afshin Esmaeili ◽  
Gerald Hushlak ◽  
Anna Hushlak

This paper discusses the 3D space customization of design concepts within self-generated sculpture as an instigator for design of urban pattern. Appropriating from the concept of computer fuzzy logic, fuzzy design prods serve as exemplars of naturally occurring swarm behaviors. The hybridization of design through the ‘mistake' and the different material vocabularies serve as departure points for the conceptualization of image breeding in 2D and for 3D grouping within urban pattern. Additive and eroding material processes spawn rule-based agent behaviors that assist the designers/artists to conceive and to enhance appearance and place. In an iterative process, swarm entities physically augment forms in an organic manner. The designer becomes the voyeur of their own creative input as swarm behaviors influence the placement and grouping of architecture/sculpture within the urban pattern of cities. In particular, this paper focuses on the agent-based approach whereby swarm behavior classifies residential, commercial and green spaces within urbanized areas.

2011 ◽  
Vol 15 (3) ◽  
pp. 523-547 ◽  
Author(s):  
LYNN CLARK ◽  
KEVIN WATSON

The variable phenomenon in which /t/ can be realized as a tap or rhotic approximant in varieties of Northern British English (commonly referred to as t-to-r, Wells 1982: 370) has received some attention in English linguistics as debates have appeared over how best to model its phonology (e.g. Carr 1991; Docherty et al. 1997; Broadbent 2008). The occurrence of t-to-r seems to be constrained by the preceding and following phonological environment in a largely systematic way and so it is often accounted for within a rule-based model of grammar. Problematically, however, the rule does not apply blindly across the board to all words which fit the specified phonological pattern. Instead, t-to-r shows evidence of being lexically restricted, and this fact has recently encouraged a usage-based interpretation. Until now, there has been relatively little attempt to test the usage-based thesis directly with fully quantified data gleaned from naturally occurring conversation. This article investigates the extent to which certain usage-based predictions can account for variation attested in t-to-r in Liverpool English. Using oral history interviews with Liverpool English speakers born in the early 1900s, we examine the usage-based predictions first proposed by Broadbent (2008) that t-to-r is more likely in (a) high-frequency words and (b) high-frequency phrases. There is some support for the importance of lexical frequency as a motivating factor in the use of t-to-r, but our data do not fully support either of these claims wholesale. We suggest that t-to-r is not constrained simply by word frequency or phrase frequency alone, but by a combination of both. Finally, we explore the possibility of employing notions from Cognitive Grammar such as schema strength (e.g. Taylor 2002; Bybee 1995: 430) in our interpretation of these data.


2012 ◽  
pp. 211-218 ◽  
Author(s):  
Agostino Poggi ◽  
Michele Tomaiuolo

Expert systems are successfully applied to a number of domains. Often built on generic rule-based systems, they can also exploit optimized algorithms. On the other side, being based on loosely coupled components and peer to peer infrastructures for asynchronous messaging, multi-agent systems allow code mobility, adaptability, easy of deployment and reconfiguration, thus fitting distributed and dynamic environments. Also, they have good support for domain specific ontologies, an important feature when modelling human experts’ knowledge. The possibility of obtaining the best features of both technologies is concretely demonstrated by the integration of JBoss Rules, a rule engine efficiently implementing the Rete-OO algorithm, into JADE, a FIPA-compliant multi-agent system.


The ODD Protocol has become a standard for documenting and describing agent based models. The protocol is organized around three main elements, from which the ODD acronym originates: Overview, Design concepts, and Details. This chapter is organized around these primary elements and further broken down into seven sub-elements to provide a clear purpose and understanding of the model simulation. The sub-elements are: Purpose, State Variables and Scales, Process Overview and Scheduling, Design Concepts, Initialization, Input, and Sub-models. The model presented is a proto-agent behavioral model and is utilized in an agent based modeling simulation to help identify possible emergent behavioral outcomes of the populations in the area of interest. By varying the rules governing the interactions of the multinational and incumbent government proto-agents, different strategies can be identified for increasing the effectiveness of those proto-agents and the utilization of resources.


Author(s):  
Cecil Piya ◽  
Karthik Ramani

In the real world, we use our innate manual dexterity to create and manipulate 3D objects. Conventional virtual design tools largely neglect this skill by imposing non-intuitive 2D control mechanisms for interacting with 3D design models. Their usage is thus cumbersome, time consuming and requires training. We propose a novel design paradigm that combines users’ manual dexterity with the physical affordances of non-instrumented and ordinary objects to support virtual 3D design constructions. We demonstrate this paradigm through Proto-TAI, a quick prototyping application where 2D shapes are assembled into 3D representations of ideated design concepts. Here, users can create 2D shapes in a pen-based sketch medium and use expressive handheld movements of a planar proxy to configure the shapes in 3D space. The proxy provides a metaphorical means for possessing and controlling the shapes. Here, a depth sensor and computer vision algorithms track the proxy’s spatial movement. The 3D design prototype constructed in our system can be fabricated using a laser cutter and physically assembled on-the-fly. Our system has vast implications in many design and assembly contexts, and we demonstrate its usability and efficacy through user studies and evaluations.


2016 ◽  
Vol 16 ◽  
pp. 150-159 ◽  
Author(s):  
Sophie Schetke ◽  
Salman Qureshi ◽  
Sven Lautenbach ◽  
Nadja Kabisch

2017 ◽  
Author(s):  
M. L. Blinov ◽  
J. C. Schaff ◽  
D. Vasilescu ◽  
I. I. Moraru ◽  
J. E. Bloom ◽  
...  

AbstractIn rule-based modeling, molecular interactions are systematically specified in the form of reaction rules that serve as generators of reactions. This provides a way to account for all the potential molecular complexes and interactions among multivalent or multistate molecules. Recently, we introduced rule-based modeling into the Virtual Cell (VCell) modeling framework, permitting graphical specification of rules and merger of networks generated automatically (using the BioNetGen modeling engine) with hand-specified reaction networks. VCell provides a number of ordinary differential equation (ODE) and stochastic numerical solvers for single-compartment simulations of the kinetic systems derived from these networks, and agent-based network-free simulation of the rules. In this work, compartmental and spatial modeling of rule-based models has been implemented within VCell. To enable rule-based deterministic and stochastic spatial simulations and network-free agent-based compartmental simulations, the BioNetGen and NFSim engines were each modified to support compartments. In the new rule-based formalism, every reactant and product pattern and every reaction rule are assigned locations. We also introduce the novel rule-based concept of molecular anchors. This assures that any species that has a molecule anchored to a predefined compartment will remain in this compartment. Importantly, in addition to formulation of compartmental models, this now permits VCell users to seamlessly connect reaction networks derived from rules to explicit geometries to automatically generate a system of reaction-diffusion equations. These may then be simulated using either the VCell partial differential equations (PDE) deterministic solvers or the Smoldyn stochastic simulator.


2021 ◽  
Vol 2070 (1) ◽  
pp. 012154
Author(s):  
Mahesh M Hombalmath ◽  
Manoj A Mathad

Abstract Since from ancient times weight of bullock cart is concentrated on the neck of the bullock reducing its efficiency. This paper presents various design of the yoke structure for the cart and its analysis whose aim is to reduce the stress acting on the single point i.e. on the neck of the bullock. The stress needs to be distributed over the entire body of the bullock instead of concentrating only on the neck. This paper gives an idea of how the stress is distributed on the bullock and the deflection of the yoke corresponding to the load. The design iterative process is based on the presently used bullock cart yoke structure. This paper also includes the design concepts which provide cushioning at the contact of the wooden frame to the bullock. The best design is then selected based on the structural behaviour for particular boundary and loading conditions. The modelling is done in SOLIDWORKS 2017 software and simulated/analysed using ANSYS 18.2 software.


2021 ◽  
Vol 4 (2) ◽  
pp. 119-123
Author(s):  
Anna Yu. Lugovskaya ◽  
Lyudmila Yu. Anopchenko

When assessing the ecological state of urbanized areas, there is a tendency to an increase in noise pollution. This process adversely affects human health. The main reason for this process in urbanized areas is the increase in the intensity of the traffic load. To solve this problem, various methods can be applied, ranging from technical means, the use of which is difficult to implement and costly, to planting green spaces, whose efficiency is high enough, and the costs of their creation are insignificant. The creation of green spaces helps to reduce noise levels in urbanized areas.


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