Phoster

Research and Development

Category: Simulation

Alignment and Legal Information Retrieval

Introduction The challenge addressed here is that of ensuring that all applicable rules, laws, and regulations are loaded into artificial-intelligence agents' working memories as they encounter wide, potentially open-ended, sets of situations. By agents being able to search for, retrieve, and load applicable rules, laws, and regulations into their working memories, they could be in […]

Agents with Internal States

Introduction With respect to creating believable artificial-intelligence agents, rule-based approaches have been explored for four decades and modern approaches include uses of large language models (Park, O’Brien, Cai, Morris, Liang, & Bernstein, 2023). Generative artificial-intelligence models hold the potential to advance believable agent architectures through the integration of various emotional models (Hutson & Ratican, 2023). […]

Multiagent Systems

Introduction Multiagent Systems: Algorithmic, Game-theoretic, and Logical Foundations by Yoav Shoham and Kevin Leyton-Brown and Cognition and Multi-agent Interaction: From Cognitive Modeling to Social Simulation edited by Ron Sun. GlossaryMultiagent System Computational Sociology Prediction and Explanation in Social Systems by Jake M. Hofman, Amit Sharma and Duncan J. Watts, Social Prediction: A New Research Paradigm […]

Narrative, Reflection and Wisdom

Cognitive Narratology Stories of Wisdom to Live by: Developing Wisdom in a Narrative Mode by Michel Ferrari, Nic M. Weststrate and Anda Petro, The Science of Stories: An Introduction to Narrative Psychology by János László, Narratology as a Cognitive Science by David Herman, Narrative Theory and the Cognitive Sciences by David Herman, The Cognitive Turn […]

The Design and Engineering of Economic Systems

Game Theory Game Theory by Drew Fudenberg and Jean Tirole, Algorithmic Game Theory edited by Noam Nisan, Tim Roughgarden, Eva Tardos and Vijay V. Vazirani and Game Theory and Artificial Intelligence by Moshe Tennenholtz. GlossaryAlgorithmic Game TheoryGame Theory Complex Adaptive Systems The Economy as a Complex Adaptive System by Herbert Gintis, Complexity and Evolution: Toward […]

Computer-automated Design and Engineering

Introduction Intelligent Computer Systems in Engineering Design: Principles and Applications by Staffan Sunnersjö, How to Successfully Implement Automated Engineering Design Systems: Reviewing Four Case Studies by Joel Johansson and Fredrik Elgh, Intelligent Computer-aided Design Systems: Past 20 Years and Future 20 Years by Tetsuo Tomiyama, Computer-based Design Synthesis Research: An Overview by Amaresh Chakrabarti, Kristina […]

Modeling and Predicting Audience Response

Introduction Entertainment Science: Data Analytics and Practical Theory for Movies, Games, Books, and Music by Thorsten Hennig-Thurau and Mark B. Houston, Leveraging Analytics to Produce Compelling and Profitable Film Content by Ronny Behrens, Natasha Z. Foutz, Michael Franklin, Jannis Funk, Fernanda Gutierrez-Navratil, Julian Hofmann and Ulrike Leibfried, Movie Success Prediction Using Historical and Current Data […]

Machine Reading Comprehension and Artificial Social Cognition

Introduction A Survey on Machine Reading Comprehension Systems by Razieh Baradaran, Razieh Ghiasi and Hossein Amirkhani, Machine Reading Comprehension: A Literature Review by Xin Zhang, An Yang, Sujian Li and Yizhong Wang and Teaching Machines to Read and Comprehend by Karl M. Hermann, Tomas Kocisky, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman and Phil […]

Neurosymbolic Mental Simulation and Imagination

Introduction A Neural-symbolic Framework for Mental Simulation by Michael Kissner, Simulation as an Engine of Physical Scene Understanding by Peter W. Battaglia, Jessica B. Hamrick and Joshua B. Tenenbaum, Analogues of Mental Simulation and Imagination in Deep Learning by Jessica B. Hamrick and Imagination Machines: A New Challenge for Artificial Intelligence by Sridhar Mahadevan. GlossaryComputer […]

Modeling Biological Neurons with Artificial Neural Networks

Introduction Single Cortical Neurons as Deep Artificial Neural Networks by David Beniaguev, Idan Segev and Michael London and Continual Learning with Deep Artificial Neurons by Blake Camp, Jaya K. Mandivarapu and Rolando Estrada. GlossaryArtificial Neural NetworkComputational Neuroscience CategoriesArtificial IntelligenceCognitive NeuroscienceCognitive ScienceSimulationGlossaryArtificial Neural NetworkComputational Neuroscience