Minds and Machines

Top Research Topics at Minds and Machines?

Minds and Machines mainly deals with areas of study such as Philosophy of science, Philosophy of mind, Cognitive science, Theory of computation and Epistemology. While Philosophy of science is the focus of it, it also provided insights into the studies of Cognitive psychology, Meaning (philosophy of language), Metaphysics, Psychoanalysis and Representation (arts). Issues in Philosophy of mind were discussed, taking into consideration concepts from other disciplines like Argument, Consciousness, Turing test and Intentionality.

The concepts on Cognitive science presented in Minds and Machines can also apply to other research fields, including Cognition, Mental representation and Connectionism. It explores topics in Theory of computation which can be helpful for research in disciplines like Theoretical computer science, Computation, Turing machine, Turing and Artificial intelligence. The study on Turing machine featured in it expounds on the topic of Universal Turing machine in particular.

Functionalism (philosophy of mind) and Chinese room are all subfields of Epistemology research that were featured in it.

• Philosophy of science (67.34%)
• Philosophy of mind (67.24%)
• Cognitive science (45.44%)

What are the most cited papers published in the journal?

• AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations (339 citations)
• Universal Intelligence: A Definition of Machine Intelligence (332 citations)
• In the hands of machines? The future of aged care (293 citations)

Research areas of the most cited articles at Minds and Machines:

The journal publications generally zeroe in on subjects such as Philosophy of science, Philosophy of mind, Theory of computation, Epistemology and Cognitive science. Issues in Philosophy of mind were discussed in the journal publications, taking into consideration concepts from other disciplines like Context (language use), Phenomenon, Cognition and Turing test. The study of Epistemology in the journal papers encompasses disciplines such as Personal identity, as well as fields such as Self, all of which overlap with one another.

What topics the last edition of the journal is best known for?

• Artificial intelligence
• Epistemology
• Law

The previous edition focused in particular on these issues:

The journal primarily tackles Philosophy of science, Philosophy of mind, Epistemology, Theory of computation and Cognitive science. The journal explores issues in Philosophy of science which can be linked to other research areas like Context (language use), Deliberation, Binary number and Forcing (recursion theory). Philosophy of mind research presented in it encompasses a variety of subjects, including Robot, Cognitive psychology, Engineering ethics and Empathy.

It facilitates discussions on Epistemology that incorporate concepts from other fields like Identity (social science), Online identity and Public reason. Deep learning, Artificial intelligence, Mathematical economics and Theoretical computer science are some topics wherein Theory of computation research discussed in Minds and Machines have an impact. In addition to Cognitive science research, Minds and Machines aims to explore topics under Subject (philosophy), Bodily integrity, Property (philosophy), Neurotechnology and Personally identifiable information.

The most cited articles from the last journal are:

• Algorithmic Fairness in Mortgage Lending: from Absolute Conditions to Relational Trade-offs (8 citations)
• Ethics-Based Auditing to Develop Trustworthy AI (5 citations)
• Should We Treat Teddy Bear 2.0 as a Kantian Dog? Four Arguments for the Indirect Moral Standing of Personal Social Robots, with Implications for Thinking About Animals and Humans (4 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Minds and Machines (based on the number of publications) are:

• Luciano Floridi (20 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• Mariarosaria Taddeo (13 papers) absent at the last edition,
• Selmer Bringsjord (12 papers) absent at the last edition,
• Matteo Colombo (12 papers) absent at the last edition,
• David Cole (11 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Minds and Machines (based on the number of publications) are:

• University of Oxford (35 papers) published 4 papers at the last edition the same number as at the previous edition,
• University of Minnesota (27 papers) absent at the last edition,
• University of Edinburgh (18 papers) absent at the last edition,
• The Turing Institute (16 papers) published 3 papers at the last edition, 1 less than at the previous edition,
• University at Buffalo (15 papers) absent at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 9.68% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.29% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.86% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.71% of all publications and 57.14% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Career Opportunities and Discoveries in Minds and Machines

The breadth and depth of the topics discussed in the usual editions of Minds and Machines open up numerous opportunities of growth and learning for aspiring researchers and scholars. One such highly relevant career track is becoming a private school teacher with a specialization in Philosophy and Cognitive Science.

The qualifications needed for teaching positions at private schools can span from having a simple bachelor's degree to having terminal degrees in your specific field of expertise. For subjects touched upon in Minds and Machines like Philosophy of Mind, Cognitive Science and AI, specialist knowledge can provide an edge.

In Utah, for instance, it generally requires licensure or certification processes that could include a bachelor's degree program, a teacher preparation program, and passing of a background check. The specific private school teacher requirements in Utah can be found in detailed resources provided on Research.com.

Teaching is not just a career but a noble commitment to educate and shape young minds. It can open doors for continuous learning and discovery in the ever-evolving topics presented by Minds and Machines like philosophy of science, cognitive science, theory of computation and AI. Who knows? Your future students might be the authors of the most cited papers in the next decade!