Issues in Cognitive Science - Video Archive

Advances in Socio-Behavioral Computing

Modeling Mood Contagion in a Cognitive Architecture

Maintaining Sprinting Capabilities during Repeated High Intensity Actions

Information theory in minds and machines: Applying lossy compression to the study of human perception and memory

Will there be superintelligence and would it hate us?      

Automatic Generation of Human-Friendly Numerical Data Graph Descriptions

Practice Makes Imperfect Tetris Models

What Happened to Herb Simon’s Dream of Simulating Organizations?

Artificial life with diploid neural networks

Cognitive Science Undergraduate Program Research Opportunities

An application of several of Greimas's semiotic models to problems of character motivation and behavior in Interactive Storytelling.

Abandon the Chase: Perceiving 'Catchability' during Interception of a Moving Target

 Effective Proposal Writing from the Inside Out

Visual Control of Walking Over Complex Terrain

An anticipatory model of language understanding based on scripts and discourse coherence.

A computational account of a general intelligence test: Synergy between artificial intelligence and psychometric testing 

Computational Narrative Intelligence

A Cognitive Load Theory for Multimedia Enabled Data Exploration and Analysis as demonstrated by the proper design and implementation of Co-Radial Inner Surface Projected Visualization  (CrISPV)

Finding the ``I'' in Team: Development of a Snapshot Individual Performance Metric 

Relevance-based Reconsolidation of Contextual Memories: A Computational Model

Minds and Machines

Visual Analogies and Iconic Representations:  The Case of Raven’s Progressive Matrices Test of Intelligence

Choosing actions that maintain energy level during repeated target interception tasks

On Context for Language-Endowed Intelligent Agents    

The tortoise only wins when the race is long: How changes to the task length in Tetris can redefine what it means to be the best

Bringjord, Professor of Cognitive Science and Computer Science, examines AI concepts raised in the HBO series Westworld

Minds and Machines

Finding the 'I' in Team; Development of a Snapshot Individual Performance Metric

Hormones:  from cell to cognition to conference room

A Square Peg in a Round Hole?  

Learning to Read between the Lines in Dialogue

 "Theory on Prevention and Treatment of Alzheimer’s Disease”  

Perceptual expertise in chess:  Evidence from eye movements 

Toward a Comprehensive Computational Control Theory Model of Self-Regulation

How to win at— and bet on!— Tetris tournaments: Extrapolating expertise from subsets of player behavior

Applying cognitive modeling to computational sociology

The role of vision and biomechanics when walking over rough terrain

Developing an Automated Evaluation Procedure for Artificial Imagination Systems

Professor Bram van Heuveln, Director of Undergraduate Studies in Cognitive Science, will welcome the incoming Cognitive Science undergraduate majors, and make a few remarks on the Cognitive Science undergraduate program, curriculum, and research opportunities. 

In Search of the Zipperump-a-Zoo:
What I Have Learned from 40 Years of Research on Intelligence

On Wednesday, April 6, 2016, Selmer Bringsjord, Chair and Professor of Cognitive Science will present his lecture in Sage 4101 at 12:00 Noon.  Pizza will be available!

Title:  Gauge field theory of reasoning (and cognition) dynamics:Toward a solution of the “logician vs. reasoners” dilemma

Next Steps in Exploring Expertise in Tetris with AI Models

“Bridging the gap: visually guided navigation and cortex”

Cognition, Collaboration and the Campfire

Minds and Machines

Cognitive Science grad students present their work. 

Sean Barton- "Walking over Complex Terrain:  Biomechanics and Perception". Ryan Hope:  "Cognitive control of eye movements:  A model of voluntary and involuntary saccade generation."

League-Stepping Habits as an Escape Route (Thru Plateaus, Dips, and Leaps) From Stable Suboptimal Performance: A Behavioral Marker Approach.’

Self-directed learning: Understanding the interactions between decision making, learning, and memory”

Personal Reflections on Self-Awareness and Adaptability in Agent and Multiagent Systems 

Toward Cognitively Plausible Robot Navigation

An Integrative Approach to Natural Language Performance

Minds and Machines:  An Update

Cognitive Science graduate students present work.

This talk reviews some phenomena that highlight the need to bring elements of cognitive science to computational linguistics and outlines the steps necessary for such an enterprise.

Reflexive Theory-of-Mind Reasoning and Meta-Games

Toward verifiable science assessment reporting: Cognition and the Global Change Information System (GCIS)

Emotion Modeling:  General Guidelines for Model Design and Modeling the Mechanisms of Emotion Effects on Cognition

The Impact of Prior Stock Market Reactions on Risk TakingIn Acquisitions

Gauge Field Theory of Market Dynamics:  An Electrodynamics Model of the “Man vs. Men” Dilemma

Lifting the shroud of visual attention

Dan Arista:  Reasonableness in AgencyCatherine Sibert: Tetris: Exploring Human Performance via Cross Entropy Reinforcement Learning Models

Nonlinear dynamics of lifelong learning: The myth of cognitive decline

Professor Dehaene will discuss his recent book, "Reading the Brain: The Science and Evolution of a Cultural Invention"​

Minds and Machines

Towards Sustainable Analytics in Geo-Socially Distributed Environments 

Department of Cognitive Science graduate students Ryan Hope and Melissa Parade present their research. 

Gray discusses the acquisition and deployment of extreme expertise in tasks entailing the real-time interaction of a single human with a complex, dynamic decision environment.

Michael Garber-Barron:  "Attribution Theory in Entertainment Domains" and  John Lindstedt: “Understanding and Encouraging Expertise in Tetris”

How do video game skills develop, and what sets the top players apart? I will explore those question using gameplay data in two modern games, Halo: Reach and StarCraft 2.

Towards Machines That Can Actively Listen

Will discuss, " Video Games as a Means to Improve Perceptual and Cognitive Abilities?  The Promise and Challenges of Video Game Research."

Professor Edward (Ted) Gibson, MIT,  Department of Brain and Cognitive Sciences explores the application of information and communication theory in an attempt to explain language usage and production.

"Statistical Manipulation and Control Strategies of the n-Back Task"  (Jason Ralph) and "Coordinating a Redundant Motor System: The Role of Comfort and Other Factors" (Sean Barton)

University of Rochester professor Deci discusses current research on human motivation, focusing on self-determination theory and its differentiation between types and qualities of motivation. 

Nirenburg discusses some possible heuristics to support a computational implementation of the principle of least effort, which transcends the well-known notions of bounded rationality and satisficing. 

In this talk I discuss developments over the past year on a new version of Clarion, an open-source implementation written in Python.  It is the foundation for Mockingbird, an interactive musical agent, which is intended to accompany a human performer in the genre known as "free improvisation," in the manner of composer Pauline Oliveros.
 
 

Professor Bram van Heuveln, Director of Undergraduate Studies in Cognitive Science, will review the latest news and informaton regarding the Cognitive Science BS program and opportunities for undergraduates to do independent study or research.

In this talk, an introduction to categorical logic will be given.  Wojtowicz will discuss both linguistic and graph-based (or sketch) presentations of logical theories and their categorical semantics as well as describe translations between the two types of presentations and compare their inference systems.  Finally, he will discuss an application to the knowledge (or ontology) alignment problem.

Bridewell considers the problem of detecting deceptive agents in a conversational context.

Three Rensselaer graduate students discuss their work: Shane Bretz discusses "A Motivational Based Model of Moral Judgment Effects;" Petr Babkin discusses "Mindreading for Understanding Natural Language Dialogue;"   and Dan Arista discusses "Reasonableness in Agency.​​"

Rensselaer graduate students present their work.  Kevin Barry will discuss his research on how to better examine the ways in which presentation and framing impact human decision-making and Emily O'Leary discusses her research exploring collective behavior using cognitive architecture. 

Two Rensselaer graduate students will be the speakers in the Issues in Cognitive Science series, Wednesday, April 2nd.  Eric Ameres will discuss his work "Spontaneity in Cognition, Creative and Collaboration" and Kristine Gloria will discuss "Cognitive and Privacy: What can cognitive science teach us about privacy (and vice versa)?" 

On Wedneday, March 26th, Oliver Layton, Center for Computational Neuroscience and Neural Technology and Program in Cognitive and Neural Systems, Boston University will discuss "Using Dynamical Systems to Model Human Heading Perception"

John E. Hummel, Professor in the Department of Psychologty at the University of Illinois, Champagne-Urbana will discuss his work simulating how the human brain accomplishes tasks related to reasoning explicitly about relations among things. 

Hiro Uchinda, a Cognitive Science post-doctoral researchers discusses his paper that proposes a novel logical language in which the semantics of quantificational NPs
(QNPs) in natural language are represented as arguments of predicates, rather than as quantifiers that bind variables in argument positions as in standard first-order logic

Narrative structure is a ubiquitous and intriguing phenomenon. Recognizing narrative structure is a process of abstraction, usually from natural language, and thus embodies a skill that underlies many cognitive tasks.  I describe my research program for investigating the ways people are sensitive to narrative structure, especially within their own cultural context. 

Cognitive Science graduate students Jason Ralph and Kate Tyrol will be presenting at Research Problems in Cognitive Science. 

Title: How to build tutoring systems that are almost as effective as human tutors

Title:              Adaptive Cognitive Control

Title:  Information, Q-Bits, and Natural Reference: A Bridge for Bit to It to Autopoesis to Mind

Title:  Making Watson Smarter:  From Deep QA to Dynamic QA

Title:  Problem spaces in incremental parsing

Title:  Integrating New Findings into the Complementary Learning Systems Theory of Memory

Title: Salience and Epistemic Egocentrism

Title: AIR TRAFFIC CONTROLLER SITUATION AWARENESS: EMPIRICAL AND MODELING APPROACHES TO THE CONSTRUCT

Emily O'Leary:Title: Exploring Consensus Through Simulated Tribal SocietiesShane Bretz: Title: Process Models in Moral Psychology: Toward a Computational Model.

Emily O'Leary:Title: Exploring Consensus Through Simulated Tribal SocietiesShane Bretz: Title: Process Models in Moral Psychology: Toward a Computational Model.

Title:  Hierarchies of Inference in Social and Moral Cognition

Title: Human Learning, Other Minds and Mental Simulations

Title:  Action, outcome and value: A dual-system framework for moral judgment

Title: The proof theory and the semantics of operator-free simulation language

Title:                Into the heart of the experience

How the dragonfly intercepts its flying prey: From neurons to behavior

Tim Lebo:Title:  Towards Data-Centric Digital Communities: An example for the Department of Health and Human ServicesJason Ralph:Title:  The Many Varieties of  n-Back Performance.

Title:                    New Approaches to Mining Continuous Control Strategies

Title:             The Physics of Space and Time in Unconventional Computation

Title:  Basic Cognitive Science Research Opportunities in National Defense and Homeland Security

We offer a rigorous three-pronged argument that residential US higher education is teetering on the edge of a cliff.

Title: Stability and Variability in Learning an Interactive Task