Reasons and Their Roles

This chapter outlines a job description for practical reasons—they justify actions, guide deliberation, and explain normative facts, such as facts about what a person ought to do. Reflection on this job description leads to a provisional answer to the question of what being a reason consists in: A reason for a person to act is evidence of a respect in which it is right for them to act. The chapter compares this view critically with two alternatives—that reasons are explanations of right-makers, rather than evidence of them, and that reasons are premises of good reasoning. It also defends the evidence-based account against objections.

Objek Pendidikan dalam Al-Qur’an

Humans are creatures created by Allah SWT who are concrete and most perfect in reason and reasoning, so it is impossible for other creatures who do not have good reasoning to receive Islamic education, which must carry out the Shari'a and fulfill the mandate of Allah SWT as caliph on earth. This article aims to find out the object of education that was the earliest received by humans. This study uses a qualitative approach, provides a basic overview of the topic of discussion, generalizes ideas and develops a tentative theory, opens the possibility for further research on the topic discussed. The analytical method used in this research is descriptive data analysis. The result of this research is that the object of education is the most important and the earliest is the self and then the family, especially the children. Children are a mandate that is entrusted to be educated properly. In fact, a mother must equip herself with knowledge, be willing to continue to learn, and be patient in nurturing and educating her children.

MEMPERKUAT NALAR TEOLOGI ISLAM MODERAT DALAM MENYIKAPI PANDEMI COVID-19 DI PIMPINAN RANTING PEMUDA MUHAMMADIYAH BANDAR PULAU PEKAN

Religion for some people in the world is a guideline for determining the direction to be directed in their life. In life in this world, the most important thing is a peace of mind and body in society. In keeping up with the current changes, a good reasoning process is urgently needed as a solution to addressing this to break the chain of the spread of the Covid-19 outbreak. Moderate Islam is a teaching that is able to keep up with the times and does not abandon the teachings afterwards. So that Moderate Islam is a religion that is able to balance the movement of changes in life in society. The understanding of moderate Islamic values is currently being eroded by the changing times, so that many young people tend to be pragmatic, exclusive and intolerant in responding to the situation and conditions of the Covid-19 pandemic which is spreading so rapidly today.

BIOLOGY EDUCATION STUDENTS’ ANALYSIS OF REASONING ON PLANT TAXONOMY COURSEWHITE RASCH MODEL

ANALISIS PENALARAN MAHASISWA PENDIDIKAN BIOLOGI PADA MATA KULIAH TAKSONOMI TUMBUHAN DENGAN MODEL RASCHAbstractThe reasoning is the stage of thinking that tries to connect facts or evidence to reach conclusions. The reasoning includes thinking and reasoning skills that support the formation and modification of concepts. The complexity of learning stages and reasoning gives results in inequality or low levels of reasoning owned by students. This study aimed to analyze the reasoning of students in the Plant Taxonomy course. This research used a descriptive quantitative design. This research used a test instrument administered on 36 students of Biology Education of UIN Raden Fatah Palembang with data collected using questions with indicators based on Toulmin's assessment (2003). The data analysis was conducted by analyzing the level of individual ability (person measure) to determine students' reasoning ability. The data analysis showed that one student had a logit person score of +3.05, namely student number 02, with a high reasoning category. There were twenty-four students, with a medium reasoning category. Two students have the lowest logit person score, namely students 08 and 14, with a logit person score of -0.49. The results indicated that generally, students had difficulty finding plant taxonomy concepts; therefore, thinking needed to be taught more in-depth, so students could manage the information received and conduct a good reasoning analysis in problem-solving.AbstrakPenalaran merupakan tahap berpikir yang mencoba menghubungkan fakta atau evidensi untuk mencapai kesimpulan. Penalaran mencakup keterampilan berpikir dan bernalar yang mendukung pembentukan dan modifikasi konsep. Kompleksnya tahapan belajar hingga pada tahap penalaran, mengakibatkan adanya ketidakmerataan atau rendahnya tingkat penalaran yang dimiliki oleh mahasiswa. Penelitian ini bertujuan untuk menganalisis penalaran mahasiswa pada Mata kuliah Taksonomi Tumbuhan. Jenis penelitian adalah deskriptif kuantitatif. Penelitian menggunakan instrumen tes yang dilaksanakan pada 36 mahasiswa Pendidikan Biologi UIN Raden Fatah Palembang. Data dikumpulkan menggunakan soal dengan indikator berdasarkan asesmen Toulmin (2003). Analisis data dengan menganalisis tingkat abilitas individu (person measure) untuk melihat kemampuan penalaran mahasiswa. Hasil analisis menunjukkan bahwa terdapat satu mahasiswa yang memiliki nilai logit person +3,05 yaitu mahasiswa nomor 02, dengan kategori penalaran tinggi. Terdapat dua puluh empat mahasiswa, dengan kategori penalaran sedang. Terdapat dua mahasiswa yang memiliki nilai logit person paling rendah, yaitu mahasiswa 08 dan 14 dengan nilai logit person -0,49. Hasil penelitian menunjukkan bahwa, secara umum mahasiswa banyak mengalami kesulitan dalam menemukan konsep taksonomi tumbuhan sehingga perlu lebih dalam mengajarkan cara berpikir mahasiswa, sehingga mahasiswa dapat mengelola informasi yang diterima dan melakukan analisis penalaran yang baik dalam memecahkan masalah.

A puzzle about enkratic reasoning

Enkratic reasoning—reasoning from believing that you ought to do something to an intention to do that thing—seems good. But there is a puzzle about how it could be. Good reasoning preserves correctness, other things equal. But enkratic reasoning does not preserve correctness. This is because what you ought to do depends on your epistemic position, but what it is correct to intend does not. In this paper, I motivate these claims and thus show that there is a puzzle. I then argue that the best solution is to deny that correctness is always independent of your epistemic position. As I explain, a notable upshot is that a central epistemic norm directs us to believe, not simply what is true, but what we are in a position to know.

Curve-fitting approach for COVID-19 data and its physical background

Forecast of the peak-out and settling timing of COVID-19 at an early stage should help the people how to cope with the situation. Curve-fitting method with an asymmetric log-normal function has been applied to daily confirmed cases data in various countries. Most of the curve-fitting could show good forecasts, while the reason has not been clearly shown. The K value has recently been proposed which can provide good reasoning of curve-fitting mechanism by corresponding a long and steep slope on the K curve with fitting stability. Since K can be expressed by a time differential of logarithmic total cases, the physical background of the above correspondence was discussed in terms of the growth rate in epidemic entropy.

A Multi-Attention Matching Model for Multiple-Choice Reading Comprehension

The Multi-choice machine reading comprehension, selecting the correct answer in the candidate answers, requires obtaining the interaction semantics between the given passage and the question. In this paper, we propose an end-to-end deep learning model. It employs Bi-GRU to contextually encode passages and question, and specifically models complex interactions between the given passage and the question by six kinds of attention functions, including the concatenated attention, the bilinear attention, the element-wise dot attention, minus attention and bi-directional attentions of Query2Context, Context2Query. Then, we use the multi-level attention transfer reasoning mechanism to focus on further obtaining more accurate comprehensive semantics. To demonstrate the validity of our model, we performed experiments on the large reading comprehension data set RACE. The experimental results show that our model surpasses many state-of-the-art systems on the RACE data set and has good reasoning ability.

Heuristics in judgment tasks with unrecognized elements

According to published studies in the field, random choice and random estimation are the only options for tackling judgment and decision-making tasks where the elements from which to infer a required criteria are not recognized. In Campitelli and Labollita (2010), participants were asked to estimate the nationality and Elo rating of chess players based on their surnames. In the present study I re-analyze those 123 participants from Campitelli and Labollita (2010) who declared not to have recognized any player. Even in this scenario of null recognition, they managed to correctly infer the Russian players' nationality and Elo ratings; it is likely that successful and ecologically rational heuristics were used. I found evidence of new structured probabilistic environments external to the lab, likely to have generated a number of undirected and involuntary associations in the memories of the participants, who may have used them in their heuristics to infer the criteria requested. The results support the models of limited rationality: despite the scarcity of available information, the fact that the heuristics did not guarantee success, and the risk of overestimating the heuristics’ effectiveness while underestimating their own biases, participants still favored them over random guesswork, thus suggesting an adaptive use. I invite a revision of what is considered “good reasoning” when applied to problems in environments of uncertainty that call for satisfactory, rather than optimal, solutions. This research provides the basis for new studies in the field of heuristics under previously unexplored conditions, and a new perspective for the analysis of prior works, towards a better understanding of the relationship between cognition and the environment.

Fittingness and Good Reasoning

Conor McHugh and Jonathan Way have defended a view of good reasoning according to which good reasoning is explained in terms of the preservation of fittingness. I argue that their Fittingness View is incorrect. Not all fittingness-preserving transitions in thought are instances of good reasoning.