Jonathan Phillips

dblp:66/5612 · DBLP profile ↗
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26ranked-venue papers
6as first author
16since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 25 · 5 first-author · 16 since 2021Applied, interdisciplinary, general and emerging computing · 25 · 5 first-author · 16 since 2021Systems, architecture and hardware · 1 · 1 first-author
YearPublicationVenuePosition
2025 Naturalistic action sampling as foraging in the option space
Alina Dracheva, Jonathan Phillips
CogSci2
2025 Representations of what's possible reflect others' epistemic states
Lara Kirfel, Matthew Mandelkern, Jonathan Phillips
CogSci3
2025 Cross-Cultural Emotion Concept Representation: A Comparison of English, Korean, and Large Language Model Representations
Mijin Kwon, Sean Dae Houlihan, Jonathan Phillips
CogSci3
2025 Learning to communicate a shared wavelength
Wasita Mahaphanit, Benjamin Keller, Robert D. Hawkins, Jonathan Phillips, Luke Chang
CogSci4
2025 Negation as a tool for conveying mental models
Kathryn O'Nell, Jonathan Phillips, Emma Templeton, Thalia Wheatley, Kiara Sanchez, Emily S. Finn
CogSci2
2025 Collective Emotions: Appraisal-based similarity in emotion attributions to individuals and groups
Songzhi Wu, Sean Dae Houlihan, Meghan Meyer, Jonathan Phillips
CogSci4
2024 Different Trajectories through Option Space in Humans and LLMs
Alina Dracheva, Jonathan Phillips
CogSci2
2023 Causal Reasoning Across Agents and Objects
Bryan Gonzalez, Tobias Gerstenberg, Jonathan Phillips
CogSci3
2022 Domain-general modal spaces play a foundational role throughout high-level cognition
Eli Hecht, Jonathan Phillips
CogSci2
2022 Representations of emotion concepts: Comparison across pairwise, appraisal feature-based, and word embedding-based similarity spaces
Mijin Kwon, Tor D. Wager, Jonathan Phillips
CogSci3
2022 What comes to mind? Samples from relevance-based feature spaces
Tracey Mills, Jonathan Phillips
CogSci2
2022 Consent and the Doctrine of Double Effect
Joshua Ocampo, Jonathan Phillips
CogSci2
2022 The shape of option generation in open-ended decision problems
Gokul Srinivasan, Jane Acierno, Jonathan Phillips
CogSci3
2021 Do you see what I see? A meta-analysis of the Dot Perspective Task
Catherine Holland, Steven M. Shin, Jonathan Phillips
CogSci3
2021 The Impact of Ignorance Beyond Causation: An Experimental Meta-Analysis
Lara Kirfel, Jonathan Phillips
CogSci2
2021 Top-Down Effects on Anthropomorphism of a Robot
Hailey Scherer, Jonathan Phillips
CogSci2
2020 A theoretically driven meta-analysis of implicit theory of mind studies: The role of factivity
Catherine Holland, Jonathan Phillips
CogSci2
2018 Value-guided choice sets support efficient planning
Adam Morris 0001, Jonathan Phillips, Fiery Cushman
CogSci2
2018 Evidence for evaluations of knowledge prior to belief
Jonathan Phillips, Joshua Knobe, Brent Strickland, Pauline Armary, Fiery Cushman
CogSci1
2017 Causation and norms of proper functioning: Counterfactuals are (still) relevant
Jonathan Phillips, Jonathan F. Kominsky
CogSci1
2016 Multiple Systems for Modal Cognition
Jonathan Phillips, Fiery Cushman
CogSci1
2015 The Relevance of Alternative Possibilities throughout Cognition
Jonathan Phillips, Joshua Knobe, Andrew Shtulman, Charles W. Kalish, Anne E. Riggs, Christopher Hitchcock
CogSci1
2014 Causal Supersession
Jonathan F. Kominsky, Jonathan Phillips, Tobias Gerstenberg, David A. Lagnado, Joshua Knobe
CogSci2
2014 Smart Human, Smarter Robot: How Cheating Affects Perceptions of Social Agency
Daniel Ullman 0002, Iolanda Leite, Jonathan Phillips, Julia Kim-Cohen, Brian Scassellati
CogSci3
2011 Apparent Paradoxes in Moral Reasoning; Or how you forced him to do it, even though he wasn't forced to do it
Jonathan Phillips, Liane Young
CogSci1
2007 A Reconfigurable Load Balancing Architecture for Molecular Dynamics
abstract
This paper proposes a novel architecture supporting dynamic load balancing on an FPGA for a molecular dynamics algorithm. Load balancing is primarily achieved through the use of specialized processing units, referred to as FLEX units. FLEX units are able to switch between tasks required by a molecular dynamics algorithm as often as needed in order to cater to the nature of the input parameters. This architecture is capable of run-time performance analysis and dynamic resource allocation in order to maximize throughput. Results of a prototype of the architecture targeting an FPGA are presented.
Jonathan Phillips, Matthew Areno, Chris Rogers, Aravind Dasu, Brandon Eames
IPDPS1