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Journal articles on the topic 'Design agents'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Grecu, Dan L., and David C. Brown. "Design agents that learn." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 10, no. 2 (April 1996): 149–50. http://dx.doi.org/10.1017/s0890060400001426.

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This research originates in the work started several years ago at Worcester Polytechnic Institute dedicated to the investigation, modelling and evaluation of multiagent based design. The main thrust behind our approach is the idea of finding elementary patterns of agent problem-solving and interaction in design tasks. To achieve this goal we introduced and defined the concept of Single Function Agents, (SiFAs) (Dunskus, 1995; SiFA, 1995). SiFAs are agents specialized to perform one single generic function during the design process. Some typical functions would be selection, evaluation, and critique. These types of agents can be instantiated for different, particular design domains.

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2

Gorbunov, Roman, Emilia Barakova, and Matthias Rauterberg. "Design of social agents." Neurocomputing 114 (August 2013): 92–97. http://dx.doi.org/10.1016/j.neucom.2012.06.046.

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3

McKinlay, M. A., and M. G. Rossmann. "Rational Design of Antiviral Agents." Annual Review of Pharmacology and Toxicology 29, no. 1 (April 1989): 111–22. http://dx.doi.org/10.1146/annurev.pa.29.040189.000551.

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4

Kubo, Isao, Ping Xiao, Ken-ichi Nihei, Ken-ichi Fujita, Yoshiro Yamagiwa, and Tadao Kamikawa. "Molecular Design of Antifungal Agents." Journal of Agricultural and Food Chemistry 50, no. 14 (July 2002): 3992–98. http://dx.doi.org/10.1021/jf020088v.

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5

Hider, R. C. "Design of therapeutic chelating agents." Biochemical Society Transactions 30, no. 4 (August 1, 2002): 751–55. http://dx.doi.org/10.1042/bst0300751.

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The successful design of orally active non-toxic selective metal chelators is a much sought-after goal. In order to identify an ideal chelator for clinical use, a range of specifications must be considered, such as metal selectivity and affinity, kinetic stability of the complex, bioavailability and toxicity. In this overview the comparative properties of ligands capable of endowing complexes with such properties will be discussed.

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6

Kubo, Isao, Ikuyo Kinst-Hori, Yumi Kubo, Yoshiro Yamagiwa, Tadao Kamikawa, and Hiroyuki Haraguchi. "Molecular Design of Antibrowning Agents†." Journal of Agricultural and Food Chemistry 48, no. 4 (April 2000): 1393–99. http://dx.doi.org/10.1021/jf990926u.

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7

Tan, Antoinette R., and Sandra M. Swain. "Novel agents: Clinical trial design." Seminars in Oncology 28, no. 5N (October 2001): 148–53. http://dx.doi.org/10.1053/sonc.2001.28556.

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8

Montgomery, John A. "The design of chemotherapeutic agents." Accounts of Chemical Research 19, no. 10 (October 1986): 293–300. http://dx.doi.org/10.1021/ar00130a001.

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9

Gero, John S., and Gregory J. Smith. "Context, situations, and design agents." Knowledge-Based Systems 22, no. 8 (December 2009): 600–609. http://dx.doi.org/10.1016/j.knosys.2009.05.005.

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TAN, A. "Novel agents: Clinical trial design." Seminars in Oncology 28 (October 2001): 148–53. http://dx.doi.org/10.1016/s0093-7754(01)90292-1.

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11

Saito, Isao, and Kazuhiko Nakatani. "Design of DNA-Cleaving Agents." Bulletin of the Chemical Society of Japan 69, no. 11 (November 1996): 3007–19. http://dx.doi.org/10.1246/bcsj.69.3007.

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12

Li, Ding, Qu Lei, Zhang Ying, Luo Ying-wei, Wang Xiao-lin, and Xu Zhuo-qun. "Geo-Agents: Design and implement." Wuhan University Journal of Natural Sciences 6, no. 1-2 (March 2001): 451–59. http://dx.doi.org/10.1007/bf03160284.

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13

Kitson, Sean. "Squaryl Molecular Metaphors – Application to Rational Drug Design and Imaging Agents." Journal of Diagnostic Imaging in Therapy 4, no. 1 (May 3, 2017): 35–75. http://dx.doi.org/10.17229/jdit.2017-0503-029.

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14

Brahme, R., and A. Mahdavi. "Complex early design inquiries via generative design agents." Construction Innovation 3, no. 2 (June 2003): 81–95. http://dx.doi.org/10.1108/14714170310814864.

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15

Brahme, R., and A. Mahdavi. "Complex early design inquiries via generative design agents." Construction Innovation 3, no. 2 (June 1, 2003): 81–95. http://dx.doi.org/10.1191/1471417503ci047oa.

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16

Li, Yunan. "Mechanism design with financially constrained agents and costly verification." Theoretical Economics 16, no. 3 (2021): 1139–94. http://dx.doi.org/10.3982/te3907.

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A principal distributes an indivisible good to budget‐constrained agents when both valuation and budget are agents' private information. The principal can verify an agent's budget at a cost. The welfare‐maximizing mechanism can be implemented via a two‐stage scheme. First, agents report their budgets, receive cash transfers, and decide whether to enter a lottery over the good. Second, recipients of the good can sell it on a resale market but must pay a sales tax. Low‐budget agents receive a higher cash transfer, pay a lower price to enter the lottery, and face a higher sales tax. They are also randomly inspected.

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17

Ezumalai, R., G. Aghila, and R. Rajalakshmi. "Design and Architecture for Efficient Load Balancing with Security Using Mobile Agents." International Journal of Engineering and Technology 2, no. 1 (2010): 57–60. http://dx.doi.org/10.7763/ijet.2010.v2.100.

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18

Parkinson, Brian. "Concurrent engineering design using intelligent agents." Information Services & Use 18, no. 1-2 (January 1, 1998): 77–86. http://dx.doi.org/10.3233/isu-1998-181-210.

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19

Gutica, Mirela, and Stephen Petrina. "Emotional Agents in Educational Game Design." International Journal of Game-Based Learning 11, no. 4 (October 2021): 72–89. http://dx.doi.org/10.4018/ijgbl.2021100104.

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Evaluating the subjective playing experience and engagement in learning is important in the design of advanced learning technologies (ALTs) that respond to the learners' cognitive and emotional states. This article addresses students' attitudes toward an educational game, Heroes of Math Island, and their responses to the emotional agent, an animated monkey. Fifteen students (seven boys and eight girls) from grades six and seven participated in this quasi-experimental study (pretest, intervention, post-test, followed by post-questionnaire and interview). This research presents a detailed analysis of students' subjective reactions with respect to Heroes of Math Island and to the underlying mathematics content, their learning gains and emotions triggered during gameplay, and design issues resulting from the evaluation of the game and of its emotional agent. The findings from this study inform how ALTs and educational games can be designed in order to be effective and provide emotional engagement, enjoyment, and learning.

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20

Lee, In-K., and Soon-H. Kwon. "Design of Ontology-based Intelligent Agents." Journal of Korean Institute of Intelligent Systems 18, no. 3 (June 25, 2008): 347–53. http://dx.doi.org/10.5391/jkiis.2008.18.3.347.

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21

Ghosh, Arpita, and Robert Kleinberg. "Optimal Contest Design for Simple Agents." ACM Transactions on Economics and Computation 4, no. 4 (August 26, 2016): 1–41. http://dx.doi.org/10.1145/2930955.

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22

Jones, Mark M. "The Design of Therapeutic Chelating Agents." Journal of Coordination Chemistry 23, no. 1-4 (June 1991): 187–200. http://dx.doi.org/10.1080/00958979109408250.

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23

Penserini, Loris, Anna Perini, Angelo Susi, and John Mylopoulos. "High variability design for software agents." ACM Transactions on Autonomous and Adaptive Systems 2, no. 4 (November 2007): 16. http://dx.doi.org/10.1145/1293731.1293736.

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24

GERO, JOHN S., and FRANCES M. T. BRAZIER. "Special Issue: Intelligent agents in design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 18, no. 2 (May 2004): 113. http://dx.doi.org/10.1017/s0890060404040089.

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This Special Issue had its genesis in an international Workshop on Agents in Design held in June 2002, at MIT by the Guest Editors. Computational agents have been developed within the artificial intelligence community over an extended period. The concept of an agent can be traced to Carl Hewitt's 1977 work on “actors.” Hewitt defined actors as self-contained, interactive, and concurrently executing objects. Since then, considerable research has gone into developing the concept of an agent and into formalizing agents, developing multiagent systems, and exploring their use. The use of agents in design is more recent, and the first PhDs in the area appeared in the early 1990s. Although a precise and unique definition of an agent has yet to be agreed upon, one distinguishing characteristic of an agent is that it exhibits autonomous behavior. Research on agents in design focuses on two primary areas: how to make agents useful in design, and how to apply them to design tasks. This Special Issue has papers from both areas.

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25

SAUNDERS, ROB, and JOHN S. GERO. "Curious agents and situated design evaluations." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 18, no. 2 (May 2004): 153–61. http://dx.doi.org/10.1017/s0890060404040119.

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This paper presents a possible future direction for agent-based simulation using complex agents that can learn from experience and report their individual evaluations. Adding learning to the agent model permits the simulation of potentially important agent behavior such as curiosity. The agents can then report evaluations of a design that are situated in their individual experience. The paper describes the architecture of curious agents used in the situated evaluation of designs. It then describes an example of the application of such curious agents in the evaluation of the curating of an exhibition in an art gallery.

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26

LIEW, PAK-SAN, and JOHN S. GERO. "Constructive memory for situated design agents." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 18, no. 2 (May 2004): 163–98. http://dx.doi.org/10.1017/s0890060404040120.

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Design is situated. “Situatedness” in designing entails the explicit consideration of the state of the environment, the knowledge and experiences of the designer, and the interactions between the designer and the environment during designing. Central to the notion of situatedness is the notion of design situation and constructive memory. A design situation models a particular state of interaction between a design agent and the environment at a particular point in time. Memory construction occurs whenever a design agent uses past experiences and knowledge within the current design environment in a situated manner. This paper is concerned with the development of an agent-based computational design tool that takes into consideration the notion of situatedness in designing. A key element of this tool is a constructive memory system that supports the dynamic nature of designing. Memories of past experiences are constructed as required by the current situation, and past experiences are refined for future utility according to the current interactions between the agent and the environment. This latter case of knowledge improvement is illustrated through a series of experiments that demonstrates the effect of grounding on the operating modes and responses of a constructive memory system.

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27

Mason, Jody M., Nicoleta Kokkoni, Kelvin Stott, and Andrew J. Doig. "Design strategies for anti-amyloid agents." Current Opinion in Structural Biology 13, no. 4 (August 2003): 526–32. http://dx.doi.org/10.1016/s0959-440x(03)00100-3.

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28

Smyth, M. "Design tools as agents of disclosure." Knowledge-Based Systems 13, no. 1 (February 2000): 27–35. http://dx.doi.org/10.1016/s0950-7051(99)00049-0.

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29

Petrovic, Ivan K. "Computer design agents and creative interfaces." Automation in Construction 5, no. 3 (September 1996): 151–59. http://dx.doi.org/10.1016/0926-5805(96)00141-0.

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30

Berentsen, Aleksander, and Carlo Strub. "Central bank design with heterogeneous agents." European Economic Review 53, no. 2 (February 2009): 139–52. http://dx.doi.org/10.1016/j.euroecorev.2008.03.007.

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31

Hall, Daniel B., and Jacqueline K. Barton. "The design of dimeric metallointercalating agents." Journal of Inorganic Biochemistry 51, no. 1-2 (July 1993): 528. http://dx.doi.org/10.1016/0162-0134(93)85554-l.

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32

Kim, Jin-Hong, Hoon Jin, and Seung-Cheon Kim. "Design of Adaptive Vehicular Agents Model." International Journal of Control and Automation 7, no. 7 (July 31, 2014): 415–22. http://dx.doi.org/10.14257/ijca.2014.7.7.34.

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33

Abramov, A. A. "Design principles of selective collecting agents." Journal of Mining Science 47, no. 1 (January 2011): 109–21. http://dx.doi.org/10.1134/s1062739147010138.

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34

Kautz, Henry A., Bart Selman, and Michael Coen. "Bottom-up design of software agents." Communications of the ACM 37, no. 7 (July 1994): 143–46. http://dx.doi.org/10.1145/176789.176805.

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35

Pinho, Daniel, Adriana Vivacqua, Sérgio Palma, and Jano de Souza. "SYMBAD—Similarity based agents for design." Expert Systems with Applications 31, no. 4 (November 2006): 728–33. http://dx.doi.org/10.1016/j.eswa.2006.01.040.

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36

Dean, J. P., and G. A. Dervakos. "Design of process-compatible biological agents." Computers & Chemical Engineering 20 (January 1996): S67—S72. http://dx.doi.org/10.1016/0098-1354(96)00022-1.

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37

Gould, Robert J., and Jules A. Shafer. "Design of antithrombotic agents: An introduction." Perspectives in Drug Discovery and Design 1, no. 3 (April 1994): 419–22. http://dx.doi.org/10.1007/bf02171856.

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38

Hrast, Martina. "Design and Preparation of Antimicrobial Agents." Antibiotics 11, no. 12 (December 8, 2022): 1778. http://dx.doi.org/10.3390/antibiotics11121778.

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39

Kearns, Michael, Mallesh M. Pai, Aaron Roth, and Jonathan Ullman. "Mechanism Design in Large Games: Incentives and Privacy." American Economic Review 104, no. 5 (May 1, 2014): 431–35. http://dx.doi.org/10.1257/aer.104.5.431.

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We study the design of mechanisms satisfying a novel desideratum: privacy. This requires the mechanism not reveal 'much' about any agent's type to other agents. We propose the notion of joint differential privacy: a variant of differential privacy used in the privacy literature. We show by construction that mechanisms satisfying our desiderata exist when there are a large number of players, and any player's action affects any other's payoff by at most a small amount. Our results imply that in large economies, privacy concerns of agents can be accommodated at no additional 'cost' to standard incentive concerns.

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40

Lavendelis, Egons, and Janis Grundspenkis. "Design of Multi-Agent Based Intelligent Tutoring Systems." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 48–59. http://dx.doi.org/10.2478/v10143-009-0004-z.

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Design of Multi-Agent Based Intelligent Tutoring SystemsResearch of two fields, namely agent oriented software engineering and intelligent tutoring systems, have to be taken into consideration, during the design of multi-agent based intelligent tutoring systems (ITS). Thus there is a need for specific approaches for agent based ITS design, which take into consideration main ideas from both fields. In this paper we propose a top down design approach for multi-agent based ITSs. The proposed design approach consists of the two main stages: external design and internal design of agents. During the external design phase the behaviour of agents and interactions among them are designed. The following steps are done: task modelling and task allocation to agents, use case map creation, agent interaction design, ontology creation and holon design. During the external design phase agents and holons are defined according to the holonic multi-agent architecture for ITS development. During the internal design stage the internal structure of agents is specified. The internal structure of each agent is represented in the specific diagram, called internal view of the agent, consisting of agent's actions and interactions among them, rules for incoming message and perception processing, incoming and outgoing messages, and beliefs of the agent. The proposed approach is intended to be a part of the full life cycle methodology for multi-agent based ITS development. The approach is developed using the same concepts as JADE agent platform and is suitable for agent code generation from the design diagrams.

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41

Freidlin, Boris, and Richard Simon. "Evaluation of Randomized Discontinuation Design." Journal of Clinical Oncology 23, no. 22 (August 1, 2005): 5094–98. http://dx.doi.org/10.1200/jco.2005.02.520.

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Purpose Single-arm phase II trials may not be appropriate for testing cytostatic agents. We evaluate two kinds of randomized designs for the early development of target-based cytostatic agents. Methods We compared power of the randomized discontinuation and upfront randomization designs under two models for the treatment effect of targeted cytostatic agents. Results The randomized discontinuation design is not as efficient as upfront randomization if treatment has a fixed effect on tumor growth rate or if treatment benefit is restricted to slower-growing tumors. On the other hand, the randomized discontinuation design can be advantageous under a model where only a subset of patients, those expressing the molecular target, is sensitive to the agent. To achieve efficiency, the design parameters must be carefully structured to provide adequate enrichment of the randomly assigned patients. Conclusion With careful planning, the randomized discontinuation designs can be useful in some settings in the early development of targeted agents where a reliable assay to select patients expressing the target is not available.

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42

Ostrosi, Egon, Alain-Jérôme Fougères, Zai-Fang Zhang, and Josip Stjepandić. "Intelligent modular design with holonic fuzzy agents." Advances in Manufacturing 9, no. 1 (January 25, 2021): 81–103. http://dx.doi.org/10.1007/s40436-020-00331-0.

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43

Suat, K., and Seetharama Jois. "Design of β-turn Based Therapeutic Agents." Current Pharmaceutical Design 9, no. 15 (June 1, 2003): 1209–24. http://dx.doi.org/10.2174/1381612033454900.

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44

Uckun, F., E. Sudbeck, C. Mao, S. Ghosh, X. P. Liu, A. Vassilev, C. Navara, and R. Narla. "Structure-Based Design of Novel Anticancer Agents." Current Cancer Drug Targets 1, no. 1 (May 1, 2001): 59–71. http://dx.doi.org/10.2174/1568009013334287.

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45

Bastani, Behzad, and David Greaves. "Complex open-system design by quasi-agents." ACM SIGSOFT Software Engineering Notes 34, no. 4 (July 6, 2009): 1–14. http://dx.doi.org/10.1145/1543405.1543412.

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46

Burke, Benjamin P., Christopher Cawthorne, and Stephen J. Archibald. "Multimodal nanoparticle imaging agents: design and applications." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, no. 2107 (October 16, 2017): 20170261. http://dx.doi.org/10.1098/rsta.2017.0261.

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Molecular imaging, where the location of molecules or nanoscale constructs can be tracked in the body to report on disease or biochemical processes, is rapidly expanding to include combined modality or multimodal imaging. No single imaging technique can offer the optimum combination of properties (e.g. resolution, sensitivity, cost, availability). The rapid technological advances in hardware to scan patients, and software to process and fuse images, are pushing the boundaries of novel medical imaging approaches, and hand-in-hand with this is the requirement for advanced and specific multimodal imaging agents. These agents can be detected using a selection from radioisotope, magnetic resonance and optical imaging, among others. Nanoparticles offer great scope in this area as they lend themselves, via facile modification procedures, to act as multifunctional constructs. They have relevance as therapeutics and drug delivery agents that can be tracked by molecular imaging techniques with the particular development of applications in optically guided surgery and as radiosensitizers. There has been a huge amount of research work to produce nanoconstructs for imaging, and the parameters for successful clinical translation and validation of therapeutic applications are now becoming much better understood. It is an exciting time of progress for these agents as their potential is closer to being realized with translation into the clinic. The coming 5–10 years will be critical, as we will see if the predicted improvement in clinical outcomes becomes a reality. Some of the latest advances in combination modality agents are selected and the progression pathway to clinical trials analysed. This article is part of the themed issue ‘Challenges for chemistry in molecular imaging’.

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47

Stepanov, Alexey V., Alexey A. Belogurov, Natalia A. Ponomarenko, Oleg A. Stremovskiy, Leonid V. Kozlov, Anna M. Bichucher, Sergey E. Dmitriev, et al. "Design of Targeted B Cell Killing Agents." PLoS ONE 6, no. 6 (June 6, 2011): e20991. http://dx.doi.org/10.1371/journal.pone.0020991.

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48

Puusepp, Renee, and Paul Coates. "Spatial Simulations with Cognitive and Design Agents." International Journal of Architectural Computing 5, no. 1 (January 2007): 99–114. http://dx.doi.org/10.1260/147807707780912967.

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49

Lee, Young Eun, and Izak Benbasat. "Interaction design for mobile product recommendation agents." ACM Transactions on Computer-Human Interaction 17, no. 4 (December 2010): 1–32. http://dx.doi.org/10.1145/1879831.1879835.

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50

Maher, Mary Lou, Michael Rosenman, and Kathryn Merrick. "Agents for multidisciplinary design in virtual worlds." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 21, no. 3 (August 2007): 267–77. http://dx.doi.org/10.1017/s0890060407000273.

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AbstractAgent models provide a generalized approach to the design of systems that autonomously monitor and affect an environment. Societies of agents that reason and communicate about an environment can achieve complex emergent behavior to facilitate and augment human activities. This paper introduces artificial agent technologies as a means by which the behavioral complexity of virtual worlds can be extended to provide the functionality needed to support collaboration in multidisciplinary design teams. Three key roles are identified that artificial agents can play to provide this functionality: support for multiple views of designed objects, support for the expression of relationships between designed objects, and compatibility with existing design tools. The implementation of a society of agents fulfilling these roles within a virtual world based, multidisciplinary design tool called DesignWorld is described. The increased behavioral complexity and functionality of DesignWorld's underlying virtual world is demonstrated using the results of multidisciplinary design experiments with DesignWorld.

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