BDI-Based Development of Virtual Characters with a Theory of Mind

Sindlár, M; Dastani, Mehdi; Meyer, John‐Jules Ch.

doi:10.1007/978-3-642-04380-2_7

Cited by 6 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, it is now argued that the ability to represent false beliefs and the ToM are two different things [60]. In an effort to embed robots with a ToM, the Sally-Anne Test has been replicated and successfully passed by several robots or artificial intelligence systems [61,62]. In our implementation, the beliefs employ again the "Relation concept": Each belief is a specific relation and the whole agent's knowledge is simply a list of beliefs.…”

Section: Agentmentioning

confidence: 99%

How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent

Lallee

Verschure

2015

Robotics

View full text Add to dashboard Cite

Robotic agents are spreading, incarnated as embodied entities, exploring the tangible world and interacting with us, or as virtual agents crawling over the web, parsing and generating data. In both cases, they require: (i) processes to acquire information; (ii) structures to model and store information as usable knowledge; (iii) reasoning systems to interpret the information; and (iv) finally, ways to express their interpretations. The H5W (How, Why, What, Where, When, Who) framework is a conceptualization of the problems faced by any agent situated in a social environment, which has defined several robotic studies. We introduce the H5W framework, through a description of its underlying neuroscience and the psychological considerations it embodies, we then demonstrate a specific implementation of the framework. We will focus on the motivation and implication of the pragmatic decisions we have taken. We report the numerous studies that have relied upon this technical implementation as a proof of its robustness and polyvalence; moreover, we conduct an additional validation of its applicability to the natural language domain by designing an information exchange task as a benchmark.

show abstract

Section: Agentmentioning

confidence: 99%

How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent

Lallee

Verschure

2015

Robotics

View full text Add to dashboard Cite

show abstract

“…An important requirement of intelligent virtual agents is the ability to be believable (Gemrot et al, 2011;Sindlar et al, 2009). In order to achieve this requirement, they should be able to perceive and comprehend the environment around them at different abstraction levels.…”

Section: Implementing Intelligent Virtual Agents With Better Cognitivmentioning

confidence: 99%

Identifying Events Taking Place in Second Life Virtual Environments

Ranathunga¹,

Cranefield²,

Purvis³

2012

Applied Artificial Intelligence

View full text Add to dashboard Cite

Second Life is one of the most popular multipurpose online virtual worlds, which supports applications in diversified areas relating to real-life activities. Moreover, it is possible to use Second Life in testing Artificial Intelligence theories, by creating intelligent virtual agents. For the successful implementation of many of these applications, it is important to accurately identify events taking place inside Second Life. This involves extracting low-level spatio-temporal data and identifying the embedded high-level domain-specific information. This is an aspect that has not been taken into consideration in the prior research related to Second Life. This paper presents a framework that extracts data from Second Life with high accuracy and high frequency, and identifies the high-level domain-specific events and other contextual information embedded in these low-level data. This is guided by our virtual environment formalism, which defines events and states in a virtual environment. This framework is further enhanced to be connected with multi-agent development platforms, thus demonstrating its use in the area of Artificial Intelligence.

show abstract

“…The BDI is an interesting approach to model agents whose behavior relies largely on their (unobservable) mental states (Sindlar, Dastani, & Meyer, 2009), such as agents intended to display social behavior. Examples of those agents are embodied conversational agents, which are personified characters that interact with users in natural language (Cassell, 2000), and agents representing non-player characters in popular role-playing games (Sindlar et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…Examples of those agents are embodied conversational agents, which are personified characters that interact with users in natural language (Cassell, 2000), and agents representing non-player characters in popular role-playing games (Sindlar et al, 2009). A socially aware agent should react in a believable way, and to do so it should take into account the presumed beliefs and goals of the agents with which it is interacting (including humans agents).…”

Section: Introductionmentioning

confidence: 99%

A Probabilistic Formalization of the Appraisal for the OCC Event-Based Emotions

Gluz¹,

Jaques²

2017

jair

View full text Add to dashboard Cite

This article presents a logical formalization of the emotional appraisal theory, i.e., it formalizes the cognitive process of evaluation that elicits an emotion. This formalization is psychologically grounded on the OCC cognitive model of emotions. More specifically, we are interested in event-based emotions, i.e., emotions that are elicited by the evaluation of the consequences of an event that either happened or will happen. The formal modelling presented here is based on the AfPL Probabilistic Logic, a BDI-like probabilistic modal logic, which allows our model to verify whether the variables that determine the elicitation of emotions achieved the necessary threshold or not. The proposed logical formalization aims at addressing how the emotions are elicited by the agent cognitive mental states (desires, beliefs and intentions), and how to represent the intensity of the emotions. These are important initial points in the investigation of the dynamic interaction among emotions and other mental states.

show abstract

BDI-Based Development of Virtual Characters with a Theory of Mind

Cited by 6 publications

References 9 publications

How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent

How? Why? What? Where? When? Who? Grounding Ontology in the Actions of a Situated Social Agent

Identifying Events Taking Place in Second Life Virtual Environments

A Probabilistic Formalization of the Appraisal for the OCC Event-Based Emotions

Contact Info

Product

Resources

About