Jeff Behrends
Biographic Data
| ID | 5086962 |
|---|---|
| NAME | Jeff Behrends |
| GIVEN NAMES | Jeff |
| FAMILY NAME | Behrends |
| SIGNATURE | BEHRENDS J |
| AFFILIATIONS | Harvard University Press |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 13 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
What we owe to decision-subjects
The ongoing explosion of interest in artificial intelligence is fueled in part by recently developed techniques in machine learning. Those techniques allow automated systems to process huge amounts of data, utilizing mathematical methods that depart from traditional statistical approaches, and resulting in impressive advancements in our ability to make predictions and uncover correlations across a host of interesting domains. But as is now widely…
Normative Source and Extensional Adequacy
Internalists about practical reasons maintain that all of an agent’s reasons for action derive their normative force via some relation in which they stand with that agent’s pro-attitudes, or the pro-attitudes that the agent would have in some idealized set of circumstances. One common complaint against internalism is that the view is extensionally inadequate—that it cannot render the correct verdicts about what reasons agents have in a range of i…
Reason to Promotion Inferences
No abstract
Problems and solutions for a hybrid approach to grounding practical normativity
Source Hybridism about practical reasons is the position that facts that constitute reasons sometimes derive their normative force from external metaphysical grounds, and sometimes from internal. Although historically less popular than either Source Internalism or Source Externalism, hybridism has lately begun to garner more attention. Here, I further the hybridist’s cause by defending Source Hybridism from three objections. I argue that we are n…
Meta‐normative Realism, Evolution, and Our Reasons to Survive
In this article, I articulate and respond to an epistemological challenge to meta‐normative realism. The challenge has it that, if realism about the normative is correct, and if evolutionary forces have significantly influenced our normative judgments, then it would be a remarkable coincidence if the content of the normative facts and our normative judgments were aligned. I criticize D avid E noch's recent attempt to meet this challenge, but prov…
Finlay and Schroeder on Promoting a Desire
This paper argues against two prominent accounts of what it is to "promote a desire" found in the work of Stephen Finlay and Mark Schroeder
A New Argument for the Multiplicity of the Good-for Relation
Problems and solutions for a hybrid approach to grounding practical normativity
Source Hybridism about practical reasons is the position that facts that constitute reasons sometimes derive their normative force from external metaphysical grounds, and sometimes from internal. Although historically less popular than either Source Internalism or Source Externalism, hybridism has lately begun to garner more attention. Here, I further the hybridist’s cause by defending Source Hybridism from three objections. I argue that we are n…
Meta‐normative Realism, Evolution, and Our Reasons to Survive
In this article, I articulate and respond to an epistemological challenge to meta‐normative realism. The challenge has it that, if realism about the normative is correct, and if evolutionary forces have significantly influenced our normative judgments, then it would be a remarkable coincidence if the content of the normative facts and our normative judgments were aligned. I criticize D avid E noch's recent attempt to meet this challenge, but prov…
What we owe to decision-subjects
The ongoing explosion of interest in artificial intelligence is fueled in part by recently developed techniques in machine learning. Those techniques allow automated systems to process huge amounts of data, utilizing mathematical methods that depart from traditional statistical approaches, and resulting in impressive advancements in our ability to make predictions and uncover correlations across a host of interesting domains. But as is now widely…
A New Argument for the Multiplicity of the Good-for Relation
Finlay and Schroeder on Promoting a Desire
This paper argues against two prominent accounts of what it is to "promote a desire" found in the work of Stephen Finlay and Mark Schroeder
Meta‐normative Realism, Evolution, and Our Reasons to Survive
In this article, I articulate and respond to an epistemological challenge to meta‐normative realism. The challenge has it that, if realism about the normative is correct, and if evolutionary forces have significantly influenced our normative judgments, then it would be a remarkable coincidence if the content of the normative facts and our normative judgments were aligned. I criticize D avid E noch's recent attempt to meet this challenge, but prov…
Reason to Promotion Inferences
No abstract
Problems and solutions for a hybrid approach to grounding practical normativity
Source Hybridism about practical reasons is the position that facts that constitute reasons sometimes derive their normative force from external metaphysical grounds, and sometimes from internal. Although historically less popular than either Source Internalism or Source Externalism, hybridism has lately begun to garner more attention. Here, I further the hybridist’s cause by defending Source Hybridism from three objections. I argue that we are n…
Normative Source and Extensional Adequacy
Internalists about practical reasons maintain that all of an agent’s reasons for action derive their normative force via some relation in which they stand with that agent’s pro-attitudes, or the pro-attitudes that the agent would have in some idealized set of circumstances. One common complaint against internalism is that the view is extensionally inadequate—that it cannot render the correct verdicts about what reasons agents have in a range of i…
What we owe to decision-subjects
The ongoing explosion of interest in artificial intelligence is fueled in part by recently developed techniques in machine learning. Those techniques allow automated systems to process huge amounts of data, utilizing mathematical methods that depart from traditional statistical approaches, and resulting in impressive advancements in our ability to make predictions and uncover correlations across a host of interesting domains. But as is now widely…
Epistemology (6 works) · Philosophy (4 works) · Psychology (4 works) · Computer Science (3 works) · Epistemology, Ethics, and Metaphysics (3 works) · Normative (3 works) · Philosophy (3 works) · Political science (3 works) · Sociology (3 works) · Free Will and Agency (2 works)