Agent-based computing from multi-agent systems to agent-based models: a visual survey

Niazi, Muaz A.; Hussain, Amir

doi:10.1007/s11192-011-0468-9

Cited by 266 publications

(141 citation statements)

References 41 publications

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“…MAS divides a complex problem into sub-problems solved by representative agents [63]; for this reason, this approach is employed to model complex problems with multiple cyber agents. ABM is related to, but clearly distinct from, the MAS concept [92]. A MAS can contain combined ABM, and in cases where the problem of energy saving is a multi-dimensional problem, MAS is an appropriate application [92,93].…”

Section: Multi Agent Systemsmentioning

confidence: 99%

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A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

2015

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Abstract:Buildings currently account for 30-40 percent of total global energy consumption. In particular, commercial buildings are responsible for about 12 percent of global energy use and 21 percent of the United States' energy use, and the energy demand of this sector continues to grow faster than other sectors. This increasing rate therefore raises a critical concern about improving the energy performance of commercial buildings. Recently, researchers have investigated ways in which understanding and improving occupants' energy-consuming behaviors could function as a cost-effective approach to decreasing commercial buildings' energy demands. The objective of this paper is to present a detailed, up-to-date review of various algorithms, models, and techniques employed in the pursuit of understanding and improving occupants' energy-use behaviors in commercial buildings. Previous related studies are introduced and three main approaches are identified: (1) monitoring occupant-specific energy consumption; (2) Simulating occupant energy consumption behavior; and (3) improving occupant energy consumption behavior. The first approach employs intrusive and non-intrusive load-monitoring techniques to estimate the energy use of individual occupants. The second approach models diverse characteristics related to occupants' energy-consuming behaviors in order to assess and predict such characteristics' impacts on the energy performance of commercial buildings; this approach mostly utilizes agent-based modeling techniques to simulate actions and interactions between occupants and their built environment. The third approach employs occupancy-focused interventions to change OPEN ACCESSEnergies 2015, 8 10997 occupants' energy-use characteristics. Based on the detailed review of each approach, critical issues and current gaps in knowledge in the existing literature are discussed, and directions for future research opportunities in this field are provided.

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Section: Multi Agent Systemsmentioning

confidence: 99%

“…ABM is related to, but clearly distinct from, the MAS concept [92]. A MAS can contain combined ABM, and in cases where the problem of energy saving is a multi-dimensional problem, MAS is an appropriate application [92,93]. MAS may balance between occupants' preferences and energy saving; ABM fails to achieve this aim.…”

Section: Multi Agent Systemsmentioning

confidence: 99%

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

2015

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“…Accordingly, the body of relevant literature is growing rapidly in the field of energy policy studies. In order to identify core publications related to energy policy, the "topic search" and the "citation expansion" approach were utilized to retrieve the raw data (i.e., the articles and their citations) by following [12,18,[68][69][70][71]. The former technique is used to select articles with specific terms in their titles, keywords, keywords plus, abstract content, or identifiers, while the latter one identifies references of the selected articles to "remedy" and expand the dataset with closely related studies of a topic.…”

Section: Discussionmentioning

confidence: 99%

“…Computer graphics, data mining and other computer technologies are incorporated as well. CiteSpace and its updated versions have been widely used in various disciplines to observe patterns and transitions of a certain topic or scientific field due to its validity, reliability and flexibility [17,18].…”

Section: Methodsmentioning

confidence: 99%

Visualization of International Energy Policy Research

2016

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Abstract:The complexity of policy decision making is well recognized. It is not clear, however, what role academic policy research has played in influencing the directions of policy outcomes and how the research has intertwined with notable issues globally. Given the importance of energy choices on sustainable development, we have developed a comprehensive and powerful visualization of the research trends worldwide in energy policy studies over the past five decades using the literature metrology theory and its techniques. The analytical framework provides a visual tracking of research activity, directional flow and a robust basis for judging progress. The emergent findings are an aid to decision makers drawing insights from specific policy studies within a fully transparent view of the historical context on a global scale.

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“…Although agent-based modelling is usually associated with social science contexts using "intelligent" agents [50], it has application in the biological sciences [51], and has been used to model microbes and biofilm formation [52,53] and the immune system [54]. The model used an object-oriented approach implemented in C++.…”

Section: Methodsmentioning

confidence: 99%

A 3-D Model of a Perennial Ryegrass Primary Cell Wall and Its Enzymatic Degradation

et al. 2014

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Abstract:We have developed a novel 3-D, agent-based model of cell-wall digestion to improve our understanding of ruminal cell-wall digestion. It offers a capability to study cell walls and their enzymatic modification, by providing a representation of cellulose microfibrils and non-cellulosic polysaccharides and by simulating their spatial and catalytic interactions with enzymes. One can vary cell-wall composition and the types and numbers of enzyme molecules, allowing the model to be applied to a range of systems where cell walls are degraded and to the modification of cell walls by endogenous enzymes. As a proof of principle, we have modelled the wall of a mesophyll cell from the leaf of perennial ryegrass and then simulated its enzymatic degradation. This is a primary, non-lignified cell wall and the model includes cellulose, hemicelluloses (glucuronoarabinoxylans, 1,3;1,4-β-glucans, and xyloglucans) and pectin. These polymers are represented at the level of constituent monosaccharides, and assembled to form a 3-D, meso-scale representation of the molecular structure of the cell wall. The composition of the cell wall can be parameterised to represent different walls in different cell types and taxa. The model can contain arbitrary combinations of different enzymes. It simulates their random diffusion through the polymer networks taking collisions into account, allowing steric hindrance from cell-wall polymers to be modelled. Steric considerations are included when target bonds are encountered, and breakdown products resulting from enzymatic activity are predicted. OPEN ACCESSComputation 2014, 2 24

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Agent-based computing from multi-agent systems to agent-based models: a visual survey

Cited by 266 publications

References 41 publications

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings

Visualization of International Energy Policy Research

A 3-D Model of a Perennial Ryegrass Primary Cell Wall and Its Enzymatic Degradation

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