A Process-oriented Framework for Goals and Motivations in Biological and Artificial Agents

Author(s):  
Riccardo Manzotti
2020 ◽  
Vol 14 (4) ◽  
pp. 277-284
Author(s):  
Naadira C. Upshaw ◽  
Douglas E. Lewis ◽  
Amber L. Nelson

1999 ◽  
Vol 38 (03) ◽  
pp. 154-157
Author(s):  
W. Fierz ◽  
R. Grütter

AbstractWhen dealing with biological organisms, one has to take into account some peculiarities which significantly affect the representation of knowledge about them. These are complemented by the limitations in the representation of propositional knowledge, i. e. the majority of clinical knowledge, by artificial agents. Thus, the opportunities to automate the management of clinical knowledge are widely restricted to closed contexts and to procedural knowledge. Therefore, in dynamic and complex real-world settings such as health care provision to HIV-infected patients human and artificial agents must collaborate in order to optimize the time/quality antinomy of services provided. If applied to the implementation level, the overall requirement ensues that the language used to model clinical contexts should be both human- and machine-interpretable. The eXtensible Markup Language (XML), which is used to develop an electronic study form, is evaluated against this requirement, and its contribution to collaboration of human and artificial agents in the management of clinical knowledge is analyzed.


Author(s):  
Maria Erna ◽  
R. Usman Rery ◽  
Wiji Astuti ◽  
Sulismayati

Penelitian ini dilakukan untuk mengetahui peningkatan kemampuan berpikir kritis siswa pada mata pelajaran Termokimia melalui penerapan strategi Process Oriented Guided Inquiry Learning (POGIL) (POGIL) di kelas 11 SMAN 8 Pekanbaru. Penelitian ini menggunakan One Group Pretest-Posttest Design yang diadakan di SMAN 8 Pekanbaru pada tahun akademik 2017/2018. Objek penelitian adalah XI MIA 1 yang terdiri dari 32 siswa. Pengumpulan data siswa menggunakan teknik tes pretest dan posttest. Keberhasilan pembelajaran dalam meningkatkan kemampuan berpikir kritis siswa ditunjukkan oleh peningkatan kriteria berpikir kritis dari hasil pretest dan posttest yang menganalisis persentase skor berpikir kritis. Hasil penelitian menunjukkan bahwa ada peningkatan kemampuan berpikir kritis siswa. Siswa mengalami peningkatan dari kategori berpikir kritis sangat rendah ke kategori sangat tinggi dengan persentase 15,625%, dari kategori rendah ke kategori sangat tinggi adalah 40,625%, dari kategori rata-rata ke kategori sangat tinggi adalah 9,375%, dari kategori sangat rendah hingga kategori tinggi adalah 12,5%, dan dari kategori rendah ke kategori tinggi adalah 21,875%. Berdasarkan analisis data, dapat disimpulkan bahwa penerapan strategi Process Oriented Guided Inquiry Learning (POGIL) mampu meningkatkan kemampuan berpikir kritis siswa pada mata pelajaran Termokimia di SMAN 8 Pekanbaru.   The research was held to determine the improvement of student’s critical thinking ability on Thermochemistry subject through implementation of Process Oriented Guided Inquiry Learning (POGIL) strategy at 11th Grade of SMAN 8 Pekanbaru. This research used One Group Pretest-Posttest Design which held in SMAN 8 Pekanbaru at academic year of 2017/2018. The object of research is XI MIA 1 that consist of 32 students. The data collection of students used test technique which are pretest and posttest. The success of learning in improvement of student’s critical thinking ability is showed by improvement of criteria of critical thinking from pretest and posttest results that analyzed the score percentage of critical thinking. The result of research showed that there was an improvement of student’s critical thinking ability. The students have an increase from the very low category of critical thinking to very high category with percentage of 15,625%, from low category to very high category is 40,625%, from average category to very high category is 9,375%, from very low category to high category is 12,5%, and from low category to high category is 21,875%. Based on data analyze, it can be concluded that implementation of Process Oriented Guided Inquiry Learning (POGIL) strategy is able to improve student’s critical thinking ability on Thermochemistry subject at SMAN 8 Pekanbaru.


Author(s):  
Daniel A. Dombrowski

In this work two key theses are defended: political liberalism is a processual (rather than a static) view and process thinkers should be political liberals. Three major figures are considered (Rawls, Whitehead, Hartshorne) in the effort to show the superiority of political liberalism to its illiberal alternatives on the political right and left. Further, a politically liberal stance regarding nonhuman animals and the environment is articulated. It is typical for debates in political philosophy to be adrift regarding the concept of method, but from start to finish this book relies on the processual method of reflective equilibrium or dialectic at its best. This is the first extended effort to argue for both political liberalism as a process-oriented view and process philosophy/theology as a politically liberal view. It is also a timely defense of political liberalism against illiberal tendencies on both the right and the left.


Author(s):  
Jens Claßen ◽  
James Delgrande

With the advent of artificial agents in everyday life, it is important that these agents are guided by social norms and moral guidelines. Notions of obligation, permission, and the like have traditionally been studied in the field of Deontic Logic, where deontic assertions generally refer to what an agent should or should not do; that is they refer to actions. In Artificial Intelligence, the Situation Calculus is (arguably) the best known and most studied formalism for reasoning about action and change. In this paper, we integrate these two areas by incorporating deontic notions into Situation Calculus theories. We do this by considering deontic assertions as constraints, expressed as a set of conditionals, which apply to complex actions expressed as GOLOG programs. These constraints induce a ranking of "ideality" over possible future situations. This ranking in turn is used to guide an agent in its planning deliberation, towards a course of action that adheres best to the deontic constraints. We present a formalization that includes a wide class of (dyadic) deontic assertions, lets us distinguish prima facie from all-things-considered obligations, and particularly addresses contrary-to-duty scenarios. We furthermore present results on compiling the deontic constraints directly into the Situation Calculus action theory, so as to obtain an agent that respects the given norms, but works solely based on the standard reasoning and planning techniques.


2020 ◽  
Author(s):  
Michael Laakasuo ◽  
Anton Berg ◽  
Jukka Sundvall ◽  
Marianna Drosinou ◽  
Volo Herzon ◽  
...  

In this chapter, we will provide theoretical background of discussion on issues related to AIs. Some of the main topics, theories and frameworks are mind perception and moral cognition, moral psychology, evolutionary psychology, trans-humanism and ontological categories shaped by evolution.


2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.


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