Modeling Human Plan Recognition Using Bayesian Theory of Mind

Baker, Chris; Tenenbaum, Joshua B.

doi:10.1016/b978-0-12-398532-3.00007-5

Cited by 99 publications

(118 citation statements)

References 60 publications

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“…In cognitive science there has recently been considerable progress on these models, especially in the context of theory of mind (Baker, Saxe, and Tenenbaum 2009;Baker and Tenenbaum 2014;Shafto, Goodman, and Frank 2012;Ullman et al 2010). Not all of this work has the mutually recursive, game-theoretic flavor of the above rational analysis, but in many situations it seems implausible that human agents actually engage in such "deeply recursive social reasoning" (Goodman and Stuhlmüller 2013: 183).…”

Section: Discussionmentioning

confidence: 99%

On interactivity in probabilistic pragmatics: yet another rational analysis of scalar implicatures

Jäkel

Liu

2016

Zeitschrift Für Sprachwissenschaft

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Section: Discussionmentioning

confidence: 99%

On interactivity in probabilistic pragmatics: yet another rational analysis of scalar implicatures

Jäkel

Liu

2016

Zeitschrift Für Sprachwissenschaft

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“…An MDP account of social reasoning might also include separate variables for a decision maker's beliefs or goals (Baker & Tenenbaum, 2014). All of these variables are time-dependent and may vary from one time step to the next.…”

Section: Discussionmentioning

confidence: 99%

“…MDPs have been used to model situations in which an agent navigates through a state space and chooses an action in each state (Baker et al, 2008, 2009, 2011; Baker & Tenenbaum, 2014; Doshi et al, 2010; Jara-Ettinger et al, 2012; Pynadath & Marsella, 2005; Tauber & Steyvers, 2011; Ullman et al, 2009). For example, Baker et al (2009) used MDPs to model people's inferences about an agent's goal after people observed the agent move through a simple spatial environment.…”

Section: Decision Networkmentioning

confidence: 99%

“…In the psychological literature there are a number of computational accounts of reasoning about behavior (Bello & Cassimatis, 2006; Bonnefon, 2009; Bonnefon & Sloman, 2013; Hedden & Zhang, 2002; Oztop, Wolpert, & Kawato, 2005; Shultz, 1988; Van Overwalle, 2010; Wahl & Spada, 2000), and some of these accounts rely on Bayes nets (Goodman et al, 2006; Hagmayer & Osman, 2012; Hagmayer & Sloman, 2009; Sloman, Fernbach, & Ewing, 2012; Sloman & Hagmayer, 2006). However, our work is most closely related to accounts that extend the framework of Bayes nets to include the principle of goal-directed action (Baker, Goodman, & Tenenbaum, 2008; Baker et al, 2009; Baker, Saxe, & Tenenbaum, 2011; Baker & Tenenbaum, 2014; Doshi, Qu, Goodie, & Young, 2010; Goodman et al, 2009; Jara-Ettinger, Baker, & Tenenbaum, 2012; Pantelis et al, 2014; Pynadath & Marsella, 2005; Tauber & Steyvers, 2011; Ullman et al, 2009). Much of this work uses a computational framework called Markov decision processes (MDPs; Baker et al, 2009; Baker & Tenenbaum, 2014).…”

mentioning

confidence: 99%

“…However, our work is most closely related to accounts that extend the framework of Bayes nets to include the principle of goal-directed action (Baker, Goodman, & Tenenbaum, 2008; Baker et al, 2009; Baker, Saxe, & Tenenbaum, 2011; Baker & Tenenbaum, 2014; Doshi, Qu, Goodie, & Young, 2010; Goodman et al, 2009; Jara-Ettinger, Baker, & Tenenbaum, 2012; Pantelis et al, 2014; Pynadath & Marsella, 2005; Tauber & Steyvers, 2011; Ullman et al, 2009). Much of this work uses a computational framework called Markov decision processes (MDPs; Baker et al, 2009; Baker & Tenenbaum, 2014). …”

mentioning

confidence: 99%

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A decision network account of reasoning about other people’s choices

Jern

Kemp

2015

Cognition

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The ability to predict and reason about other people's choices is fundamental to social interaction. We propose that people reason about other people's choices using mental models that are similar to decision networks. Decision networks are extensions of Bayesian networks that incorporate the idea that choices are made in order to achieve goals. In our first experiment, we explore how people predict the choices of others. Our remaining three experiments explore how people infer the goals and knowledge of others by observing the choices that they make. We show that decision networks account for our data better than alternative computational accounts that do not incorporate the notion of goal-directed choice or that do not rely on probabilistic inference.

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A Reputation Game Simulation: Emergent Social Phenomena from Information Theory

2022

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Reputation is a central element of social communications, be it with human or artificial intelligence (AI), and as such can be the primary target of malicious communication strategies. There is already a vast amount of literature on trust networks and their dynamics using Bayesian principles and involving Theory of Mind models. An issue for these simulations can be the amount of information that can be stored and managed using discretizing variables and hard thresholds. Here a novel approach to the way information is updated that accounts for knowledge uncertainty and is closer to reality is proposed. Agents use information compression techniques to capture their complex environment and store it in their finite memories. The loss of information that results from this leads to emergent phenomena, such as echo chambers, self-deception, deception symbiosis, and freezing of group opinions. Various malicious strategies of agents are studied for their impact on group sociology, like sycophancy, egocentricity, pathological lying, and aggressiveness. Our set-up already provides insights into social interactions and can be used to investigate the effects of various communication strategies and find ways to counteract malicious ones. Eventually this work should help to safeguard the design of non-abusive AI systems.

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Modeling Human Plan Recognition Using Bayesian Theory of Mind

Cited by 99 publications

References 60 publications

On interactivity in probabilistic pragmatics: yet another rational analysis of scalar implicatures

On interactivity in probabilistic pragmatics: yet another rational analysis of scalar implicatures

A decision network account of reasoning about other people’s choices

A Reputation Game Simulation: Emergent Social Phenomena from Information Theory

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