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    Comparing the usability of two multi-agents systems DSLs: Sea_ML++ and DSML4MAS study design
    (CEUR-WS, 2018) Silva J.; Barišic A.; Amaral V.; Goulão M.; Tezel B.T.; Alaca O.F.; Challenger M.; Kardas G.
    Context: The “Physics of Notations” (PoN) supports a systematic improvement of the cognitive effectiveness of visual modelling languages. Problem: PoN focuses on the concrete syntax of a language, building on a predefined abstract syntax. We should also consider the abstract syntax of a language when developing efforts to improve it by choosing the most adequate language constructs (concepts and their relationships). We instantiate this challenge by comparing two Multi-Agent Systems Domain Specific Languages: SEA_ML++ and DSML4MAS, and assessing the extent to which their respective constructs affect the developer experience. Method: We will perform a quasi-experiment for comparing how practitioners use both languages to solve similar modelling challenges. The experiment will have a cross-over within-subjects design and will focus on the extent to which the different language constructs impact on developer experience. These tasks will be monitored, so that we can assess their success and effort involved, including eye-tracking information. Results: This paper reports on the planned study design for this empirical comparison of two DSLs for MAS. © 2018 CEUR-WS. All rights reserved.
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    Development of a semantic web based activity recommender software [Anlamsal Web Tabanli bir Aktivite Öneri Sistemi Yaziliminin Geliştirilmesi]
    (CEUR-WS, 2017) Konaray S.K.; Aras G.; Akçekoce H.; Alaca O.F.; Challenger M.; Kardaş G.
    People are usually willing to spend their free time in entertaining activities. In the process of finding appropriate activity, circumstances such as personal preferences and weather conditions, as well as some factors like the budget play an important role. In addition, one should find and filter these activities with an extensive effort in order to determine the proper activity based on personal requirements. In addition, to succeed in the web-based search for the activities, exact syntactical mapping is needed. This situation may lead to miss those activities which place in several categories. These requirements for the activity finding make the process difficult for the users. To deal with these challenges, the web services providing the activities can be defined semantically, discovered automatically and dynamically, and hence the activities closest to the user's preferences can be found. To this end, in this paper, an activity recommender system is proposed which utilizes semantic web services and semantic matchmaking. For this purpose, as part of an engineering approach, a semantic web infrastructure is proposed with which web services can communicate to discover the desired activity. The evaluation of both the proposed approach and the implemented system with taking into account the advantages and the disadvatages brought the approach is also given in the paper.
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    Engineering a BDI agent-based semantic e-barter system
    (Institute of Electrical and Electronics Engineers Inc., 2017) Cakmaz Y.E.; Alaca O.F.; Durmaz C.; Akdal B.; Tezel B.; Challenger M.; Kardas G.
    Barter system is an alternative commerce approach where customers meet at a marketplace in order to exchange their goods or services without currency. E-barter systems, also gain attention with the rise of e-commerce. Barterers search databases for goods and services they need. In this paper, the integration of ontology and agent systems is proposed as a solution for searching in diverse barter databases semantically and bargaining on behalf of the customers. Systematic design of the semantic e-barter system based on the Belief-Desire-Intention (BDI) agents is performed with using Prometheus methodology. The system is implemented on JACK intelligent agent platform. The implemented system is benefited from matchmaking reasoning by employing ontologies. © 2017 IEEE.
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    Improving the Usability of a MAS DSML
    (Springer Verlag, 2019) Miranda T.; Challenger M.; Tezel B.T.; Alaca O.F.; Barišic A.; Amaral V.; Goulão M.; Kardas G.
    Context: A significant effort has been devoted to the design and implementation of various domain-specific modeling languages (DSMLs) for the software agents domain. Problem: Language usability is often tackled in an ad-hoc way, with the collection of anecdotal evidence supporting the process. However, usability plays an important role in the productivity, learnability and, ultimately, in the adoption of a MAS DSML by agent developers. Method: In this chapter, we discuss how the principles of The “Physics” of Notations (PoN) can be applied to improve the visual notation of a MAS DSML, called SEA_ML and evaluate the result in terms of usability. Results: The evolved version of the language, SEA_ML++, was perceived as significantly improved in terms of icons comprehensibility, adequacy and usability, as a direct result of employing the principles of PoN. However, users were not significantly more efficient and effective with SEA_ML++, suggesting these 2 properties were not chiefly constrained by the identified shortcomings of the SEA_ML concrete syntax. © 2019, Springer Nature Switzerland AG.