Modeling emotional action for social characters

2008 ◽  
Vol 23 (4) ◽  
pp. 321-337 ◽  
Author(s):  
Hongwei Yang ◽  
Zhigeng Pan ◽  
Mingmin Zhang ◽  
Chunhua Ju
Keyword(s):  
Decision Making ◽  
Computer Simulation ◽  
Individual Differences ◽  
Social Interactions ◽  
Dynamic Environment ◽  
Human Intelligence ◽  
Decision Making Process ◽  
Emotional Model ◽  
Human Decision ◽  
Social Components

AbstractEmotion is an important aspect of human intelligence and has been shown to play a significant role in the human decision-making process. This paper proposes a comprehensive computational model of emotions that can be incorporated into the physiological and social components of the emotions. Since interaction between characters can have a major impact on emotional dynamics, the model presents a social learning component for learning associations among characters, which in turn affects the character’s decision-making and social interactions. The model also designs a set of personality progression functions to enhance individual differences. In addition, we demonstrate this empirically through a computer simulation of a dynamic environment inhabited by a few characters to test our emotional model. The experiments show the effectiveness of our emotional model to build believable characters during interaction with the virtual environment.

Decision-making

2020 ◽  
pp. 108-124
Author(s):  
Philippe D’Iribarne ◽  
Sylvie Chevrier ◽  
Alain Henry ◽  
Jean-Pierre Segal ◽  
Geneviève Tréguer-Felten
Keyword(s):  
Decision Making ◽  
Social Interactions ◽  
Decision Making Process ◽  
Cultural Interpretation ◽  
Points Of View

Making decisions involves many risks such as ignoring relevant points of view; angering those who are frustrated, inducing them, once the decision has been made, to hinder its implementation. One way to limit these risks is to frame decisions with rituals. However, for a ritual to work, it must appear respectable; and this relies on an eminently cultural interpretation. To understand what is at stake, two aspects of the decision-making process are explored successively. First, a Franco-Dutch case demonstrates how social interactions intervene in the idea selection. Second, examples from Cameroon and Jordan show the suspicions and resentment that any decision is likely to generate among those who suffer from it. However, appropriate procedures are likely to overcome suspicions and to give a sense of fairness.

Artificial Intelligence, Human Intelligence, and Orientism Management Framework

2021 ◽  
pp. 1-30
Author(s):  
Luisa Dall'Acqua
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Makers ◽  
Human Intelligence ◽  
Decision Making Process ◽  
Knowledge Process ◽  
Management Framework ◽  
Theoretical Contribution ◽  
Practical Guideline

The chapter intends to be a theoretical contribution for developers in the field of artificial intelligence. It also means a practical guideline for leaders, as decision-makers, to manage tasks and optimize performance. The proposed approach interprets the fluid nature of the decision-making process looking at knowledge and knowledge activities as dynamic, adaptive, and self-regulative, based not only on well-known explicit curricular goals but also on unpredictable interactions and relationships between players. The knowledge process is emerging in human and biological, social, and cultural environments.

scholarly journals PathGame: Crowdsourcing Time-Constrained Human Solutions for the Travelling Salesperson Problem

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Slaviša Dumnić ◽  
Đorđije Dupljanin ◽  
Vladimir Božović ◽  
Dubravko Ćulibrk
Keyword(s):  
Decision Making ◽  
Online Games ◽  
Initial Study ◽  
Decision Making Process ◽  
Human Decision ◽  
Travelling Salesperson Problem

Human strategies for solving the travelling salesperson problem (TSP) continue to draw the attention of the researcher community, both to further understanding of human decision-making and inspiration for the design of automated solvers. Online games represent an efficient way of collecting large amounts of human solutions to the TSP, and PathGame is a game focusing on non-Euclideanclosed-form TSP. To capture the instinctive decision-making process of the users, PathGame requires users to solve the problem as quickly as possible, while still favouring more efficient tours. In the initial study presented here, we have used PathGame to collect a dataset of over 16,000 tours, containing over 22,000,000 destinations. Our analysis of the data revealed new insights related to ways in which humans solve TSP and the time it takes them when forced to solve TSPs of large complexity quickly.

scholarly journals Effects of a Social Robot's Autonomy and Group Orientation on Human Decision-Making

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Pei-Luen Patrick Rau ◽  
Ye Li ◽  
Jun Liu
Keyword(s):  
College Students ◽  
Decision Making ◽  
Laboratory Experiment ◽  
Social Robot ◽  
Decision Making Process ◽  
Robot Design ◽  
Group Orientation ◽  
Intelligent Robots ◽  
Robot Systems ◽  
Human Decision

Social attributes of intelligent robots are important for human-robot systems. This paper investigates influences of robot autonomy (i.e., high versus low) and group orientation (i.e., ingroup versus outgroup) on a human decision-making process. We conducted a laboratory experiment with 48 college students and tested the hypotheses with MANCOVA. We find that a robot with high autonomy has greater influence on human decisions than a robot with low autonomy. No significant effect is found on group orientation or on the interaction between group orientation and autonomy level. The results provide implications for social robot design.

scholarly journals Stochastic representation decision theory: How probabilities and values are entangled dual characteristics in cognitive processes

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243661
Author(s):  
Giuseppe M. Ferro ◽  
Didier Sornette
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Time Pressure ◽  
Rational Expectation ◽  
Weighting Function ◽  
Objective Probability ◽  
Decision Making Process ◽  
Stochastic Representation ◽  
Human Decision ◽  
Expectation Theory

Humans are notoriously bad at understanding probabilities, exhibiting a host of biases and distortions that are context dependent. This has serious consequences on how we assess risks and make decisions. Several theories have been developed to replace the normative rational expectation theory at the foundation of economics. These approaches essentially assume that (subjective) probabilities weight multiplicatively the utilities of the alternatives offered to the decision maker, although evidence suggest that probability weights and utilities are often not separable in the mind of the decision maker. In this context, we introduce a simple and efficient framework on how to describe the inherently probabilistic human decision-making process, based on a representation of the deliberation activity leading to a choice through stochastic processes, the simplest of which is a random walk. Our model leads naturally to the hypothesis that probabilities and utilities are entangled dual characteristics of the real human decision making process. It predicts the famous fourfold pattern of risk preferences. Through the analysis of choice probabilities, it is possible to identify two previously postulated features of prospect theory: the inverse S-shaped subjective probability as a function of the objective probability and risk-seeking behavior in the loss domain. It also predicts observed violations of stochastic dominance, while it does not when the dominance is “evident”. Extending the model to account for human finite deliberation time and the effect of time pressure on choice, it provides other sound predictions: inverse relation between choice probability and response time, preference reversal with time pressure, and an inverse double-S-shaped probability weighting function. Our theory, which offers many more predictions for future tests, has strong implications for psychology, economics and artificial intelligence.

How the Brain Makes Decisions

2020 ◽  
Author(s):  
Thomas Boraud
Keyword(s):  
Decision Making ◽  
General Framework ◽  
Fundamental Question ◽  
Decision Making Process ◽  
Brain Functions ◽  
It Impacts ◽  
Combining Data ◽  
Neural Substrate ◽  
Human Decision ◽  
The Brain

The human decision-making process is tainted with irrationality. To address this issue, this book proposes a ‘bottom-up’ approach of the neural substrate of decision-making, starting from the fundamental question: What are the basic properties that a neural network of decision-making needs to possess? Combining data drawn from phylogeny and physiology, this book provides a general framework of the neurobiology of decision-making in vertebrates and explains how it evolved from the lamprey to the apes. It also addresses the consequences, examining how it impacts our capacity of reasoning and some aspects of the pathophysiology of high brain functions. To conclude, the text opens discussion to more philosophical concepts such as the question of free will.

Decision-Making Cognitive Process

2018 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Thais Spiegel ◽  
Ana Carolina P V Silva
Keyword(s):  
Decision Making ◽  
Cognitive Process ◽  
Decision Makers ◽  
Time Constraints ◽  
Decision Making Process ◽  
Cognitive Limitations ◽  
The World ◽  
Human Decision ◽  
Per Se ◽  
Rationality Theory

In the study of decision-making, the classical view of behavioral appropriateness or rationality was challenged by neuro and psychological reasons. The “bounded rationality” theory proposed that cognitive limitations lead decision-makers to construct simplified models for dealing with the world. Doctors' decisions, for example, are made under uncertain conditions, as without knowing precisely whether a diagnosis is correct or whether a treatment will actually cure a patient, and often under time constraints. Using cognitive heuristics are neither good nor bad per se, if applied in situations to which they have been adapted to be helpful. Therefore, this text contextualizes the human decision-making perspective to find descriptions that adhere more closely to the human decision-making process. Then, based on a literature review of cognition during decision-making, particularly in healthcare context, it addresses a model that identifies the roles of attention, categorization, memory, emotion, and their inter-relations, during the decision-making process.

An Intelligent of Navigation and Path finding Technique of Fuzzy logic

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Dr. Prem Kumar
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Real World ◽  
Source Location ◽  
Human Intelligence ◽  
Decision Making Process ◽  
Path Finding ◽  
Navigation Algorithm ◽  
Navigation Method

In all path finding and navigation problems the inputs are its environment space and the output of path finding and navigation algorithm is a route from source location to destination location. It seems very simple to choose a path from source to destination in theory but in real world it is very difficult to decide a route that is safe and optimal. This paper presents the navigation method which uses the human intelligence to navigate for path finding using fuzzy logic. The procedure simulates decision-making process of human for navigation and path finding.

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