Papers by Christian Lebiere
Human Factors and Ergonomics …, 2010
Page 1. Expert Decision Making in Landmine Detection Christian J. Lebiere James J. Staszewski Car... more Page 1. Expert Decision Making in Landmine Detection Christian J. Lebiere James J. Staszewski Carnegie Mellon University Previous study has shown that an understanding of expert performance expressed as a cognitive ...
Abstract Decision-makers in social interaction are often unaware of the way their own actions inf... more Abstract Decision-makers in social interaction are often unaware of the way their own actions influence other people, and vice versa. For example, in the intensifying environmental crisis, individuals may not realize that their own conservation or pollution can inspire others to behave similarly by activating norms of reciprocity and punishment, respectively.
Abstract We present a laboratory study investigating the generalization of learning across two ga... more Abstract We present a laboratory study investigating the generalization of learning across two games of strategic interaction. The participants' performance was higher when a game was played after, as compared to before, a different game. We found that the generalization of learning from one game to another was driven by both surface and deep similarities between the two games. We developed a computational cognitive model to investigate mechanisms of generalization.
Abstract Computational cognitive modeling is normally thought of as rational cognition. However, ... more Abstract Computational cognitive modeling is normally thought of as rational cognition. However, there are human behaviors that do not appear to be driven by rational cognition. The other,“beyond rational” cognition is also appropriate for computational models of cognition. The panel will discuss their efforts at modeling this form of cognition. Keywords: cognitive models; cognition; Dual Process Theory, emotion, intuition.
Abstract The approach presented in this paper addresses the question of the proper scientific bas... more Abstract The approach presented in this paper addresses the question of the proper scientific basis for Human Factors modeling and proposes an architectural framework for integrating federated models and simulations. It is intended to be applicable to a broad range of scenarios across domains. Indeed, broad applicability and integration of modeling and simulation techniques are essential to their effectiveness and validation.
Abstract: The Intergroup Prisoner's Dilemma with Intragroup Power Dynamics (IPD^ 2) is a new game... more Abstract: The Intergroup Prisoner's Dilemma with Intragroup Power Dynamics (IPD^ 2) is a new game paradigm for studying human behavior in conflict situations. IPD^ 2 adds the concept of intragroup power to an intergroup version of the standard Repeated Prisoner's Dilemma game. We conducted a laboratory study in which individual human participants played the game against computer strategies of various complexities.
1. Introduction Unlike other species, humans are not optimized to any specific natural environmen... more 1. Introduction Unlike other species, humans are not optimized to any specific natural environment or task, but they are very good at many things. At least in the long run, generalists agents like humans seem to be superior to specialist ones. Agents that are optimized to a particular ecological niche might succeed in current conditions, but once their environment changes they are likely to be suboptimal and soon extinct.
Journal of Experimental …, Jan 1, 2008
Journal of Memory and Language, 1998
The ACT-R theory (Anderson, 1993; Anderson & Lebiere, 1998) is applied to the list memory par... more The ACT-R theory (Anderson, 1993; Anderson & Lebiere, 1998) is applied to the list memory paradigms of serial recall, recognition memory, free recall, and implicit memory. List memory performance in ACT-R is determined by the level of activation of declarative chunks which ...
AAAI Workshops, Aug 24, 2011
We present a metacognitive classifier implemented within a hybrid architecture that combines the ... more We present a metacognitive classifier implemented within a hybrid architecture that combines the strengths of two existing, mature cognitive architectures: ACT-R and Leabra. The classification of a set of items into previously seen and novel categories (TRAIN and TEST, respectively) is carried out in ACT-R using metacognitive signals supplied by Leabra. The resulting system performance is analyzed as a function of various architectural parameters, and future directions of research are discussed.
Lecture Notes in Computer Science, 2011
Frontiers in psychology, 2011
Computational intelligence and neuroscience, 2013
Sensemaking is the active process of constructing a meaningful representation (i.e., making sense... more Sensemaking is the active process of constructing a meaningful representation (i.e., making sense) of some complex aspect of the world. In relation to intelligence analysis, sensemaking is the act of finding and interpreting relevant facts amongst the sea of incoming reports, images, and intelligence. We present a cognitive model of core information-foraging and hypothesis-updating sensemaking processes applied to complex spatial probability estimation and decision-making tasks. While the model was developed in a hybrid symbolic-statistical cognitive architecture, its correspondence to neural frameworks in terms of both structure and mechanisms provided a direct bridge between rational and neural levels of description. Compared against data from two participant groups, the model correctly predicted both the presence and degree of four biases: confirmation, anchoring and adjustment, representativeness, and probability matching. It also favorably predicted human performance in generat...
Over the last two decades, the complementary properties of symbolic and connectionist systems hav... more Over the last two decades, the complementary properties of symbolic and connectionist systems have led to a number of attempts at hybridizing the two approaches to leverage their strengths and alleviate their shortcomings. The fact that those attempts have generally fallen short of their goals largely reflects the difficulties in integrating computational paradigms of a very different nature without sacrificing
This book achieves a goal that was set 25 years ago when Anderson and Bower (1973) published the ... more This book achieves a goal that was set 25 years ago when Anderson and Bower (1973) published the HAM theory of human memory. That theory reflected one of a number of then current efforts to create a theory of human cognition that met the twin goals of precision and complexity. ...
We simulate the evolution of a domain language in small speaker communities. Data from experiment... more We simulate the evolution of a domain language in small speaker communities. Data from experiments (Garrod et al., 2007; Fay et al., 2008) show that human communicators can evolve graphical languages quickly in a constrained task (Pic- tionary), and that communities converge towards a common language even in the absence of feedback about the success of each communication. We postulate that simulations of such horizontal evolution have to take into account properties of hu- man memory (cue-based retrieval, learning, decay). We imple- ment a model that can draw abstract concepts through sets of non-abstract, related concepts, and recognize such drawings. The knowledge base is a network with association strengths randomly sampled from a natural distribution found in a text corpus; it is a mixture of knowledge shared between agents and individual knowledge. In three experiments, we show that the agent communities converge, but that initial convergence is stronger when communities are st...
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Papers by Christian Lebiere