Wayward Agents in a Commuting Scenario
... of n and T have also been studied [13, 12]. The players can only make predictions about the attendance for the next time based on the results of the previous m weeks; this is the basis for strategies for playing the game. Now, there is a huge set of possible strategies and every player possesses k o ...
... of n and T have also been studied [13, 12]. The players can only make predictions about the attendance for the next time based on the results of the previous m weeks; this is the basis for strategies for playing the game. Now, there is a huge set of possible strategies and every player possesses k o ...
Intelligent Agents
... Percepts may not supply all relevant information Rational is different to being perfect Rationality maximizes expected outcome while perfection maximizes actual outcome. ...
... Percepts may not supply all relevant information Rational is different to being perfect Rationality maximizes expected outcome while perfection maximizes actual outcome. ...
Eye on the Prize - Stanford Artificial Intelligence Laboratory
... argued quite persuasively that the best route toward AI’s main goal lies through the development of performance systems. Edward Feigenbaum, for example, has often said that he learns the most when he throws AI techniques against the wall of hard problems to see where they break. It is true that many ...
... argued quite persuasively that the best route toward AI’s main goal lies through the development of performance systems. Edward Feigenbaum, for example, has often said that he learns the most when he throws AI techniques against the wall of hard problems to see where they break. It is true that many ...
Comparing Human and Automated Agents in a
... would regularly rush towards the nearest spot and leave; this cut off players from other critical areas and, too often, made the game impossible to finish. After changing the game such that players would only be payed when the task was completed, players left less frequently, and even helped other p ...
... would regularly rush towards the nearest spot and leave; this cut off players from other critical areas and, too often, made the game impossible to finish. After changing the game such that players would only be payed when the task was completed, players left less frequently, and even helped other p ...
CS 561: Artificial Intelligence CS 561: Artificial Intelligence
... world presents to the achievement of goals. ...
... world presents to the achievement of goals. ...
Sociology: Computational Organization Theory Keywords
... Throughout the history of organization theory there has been an implicit goal of developing an understanding of organizations in terms of the situated action of the agents within them and the position of the organization itself in the larger environment. Weber (1922,1968) sought to understand organi ...
... Throughout the history of organization theory there has been an implicit goal of developing an understanding of organizations in terms of the situated action of the agents within them and the position of the organization itself in the larger environment. Weber (1922,1968) sought to understand organi ...
Research priorities for robust and beneficial artificial intelligence
... systems is that the correctness of traditional software is defined with respect to a fixed and known machine model, whereas AI systems—especially robots and other embodied systems—operate in environments that are at best partially known by the system designer. In these cases, it may be practical to ...
... systems is that the correctness of traditional software is defined with respect to a fixed and known machine model, whereas AI systems—especially robots and other embodied systems—operate in environments that are at best partially known by the system designer. In these cases, it may be practical to ...
WHAT IS ARTIFICIAL INTELLIGENCE? Cognitive simulation
... Given the goal to implement rational action in a complex environment, as in each part. . . ...
... Given the goal to implement rational action in a complex environment, as in each part. . . ...
Learning Unknown Event Models. In Proceedings of the Twenty
... learning process to boost the accuracy of models learned from noisy plan traces. Our work differs from these prior studies in its focus on exogenous events. Several studies address the task of explaining surprises in the current state. SWALE (Leake, 1991) uses surprises to guide story understanding ...
... learning process to boost the accuracy of models learned from noisy plan traces. Our work differs from these prior studies in its focus on exogenous events. Several studies address the task of explaining surprises in the current state. SWALE (Leake, 1991) uses surprises to guide story understanding ...
Camera-ready Manuscript for the Proceedings of icame 2009
... Autonomy means that system is capable to react without the users (or other agents’) intervention and it means that it has control over personal actions and inner state. Such system should also be capable of learning by experience. Possibility of interaction with the surroundings and autonomy of comp ...
... Autonomy means that system is capable to react without the users (or other agents’) intervention and it means that it has control over personal actions and inner state. Such system should also be capable of learning by experience. Possibility of interaction with the surroundings and autonomy of comp ...
INTCare: A Knowledge Discovery based Intelligent Decision
... of the Knowledge Discovery from Databases (KDD) and Agent-Based Systems paradigms, as a way to solve complex and dynamic problems, is not new (Fayyad et al., 1996; Weiss 1999; Santos 1999). However, a great part of these concepts (and architectures) need to be corroborated by real-world applications ...
... of the Knowledge Discovery from Databases (KDD) and Agent-Based Systems paradigms, as a way to solve complex and dynamic problems, is not new (Fayyad et al., 1996; Weiss 1999; Santos 1999). However, a great part of these concepts (and architectures) need to be corroborated by real-world applications ...
Modeling the Spread of Infectious Diseases: A Review
... Many of the early disease models were devoted to mathematical modeling on a population level, assuming various kinds of homogeneity. The classic method of mathematical modeling considered a host population to be divided into distinct units, and each individual interacted with other individuals in hi ...
... Many of the early disease models were devoted to mathematical modeling on a population level, assuming various kinds of homogeneity. The classic method of mathematical modeling considered a host population to be divided into distinct units, and each individual interacted with other individuals in hi ...
Intelligence: Real and Artificial
... Tasks or Problems Action selection and planning Agent communication languages Agents in entertainment applications Believable agents Collaboration between people and agents Communication between people and agents Coordinating perception, thought, or action Expert assistants Information agents Integr ...
... Tasks or Problems Action selection and planning Agent communication languages Agents in entertainment applications Believable agents Collaboration between people and agents Communication between people and agents Coordinating perception, thought, or action Expert assistants Information agents Integr ...
Towards Adversarial Reasoning in Statistical Relational Domains
... first-order logic and probability in order to handle the complexity and uncertainty present in many real-world domains. However, many real-world domains also include multiple agents that cooperate or compete according to their diverse goals. In order to handle such domains, an autonomous agent must ...
... first-order logic and probability in order to handle the complexity and uncertainty present in many real-world domains. However, many real-world domains also include multiple agents that cooperate or compete according to their diverse goals. In order to handle such domains, an autonomous agent must ...
Phonemic Coding Might Result From Sensory
... example that if one optimizes the energy of vowel systems as defined by a compromise between articulatory cost and perceptual distinctiveness, one finds systems which follow the structural and frequency regularities of human languages. (Schwartz et al. 1997) reproduced and extended the results to CV s ...
... example that if one optimizes the energy of vowel systems as defined by a compromise between articulatory cost and perceptual distinctiveness, one finds systems which follow the structural and frequency regularities of human languages. (Schwartz et al. 1997) reproduced and extended the results to CV s ...
- Philsci
... Cooperation and competition are fundamental characteristics of social behavior. For example, at a micro-scale, human brain is a composition of specialized modules cooperating and influencing each other. On a macro-scale, our economy is a collection of cooperative and competing entities, such as vari ...
... Cooperation and competition are fundamental characteristics of social behavior. For example, at a micro-scale, human brain is a composition of specialized modules cooperating and influencing each other. On a macro-scale, our economy is a collection of cooperative and competing entities, such as vari ...
Intelligent Agents
... What is driving the interest and need for intelligent agents? Users of the Web are faced with information overload; the amount of data available doubles annually. Individuals can analyze only about 5% of the data and most efforts do not provide real meaning. Thus, the need for intelligent agents is ...
... What is driving the interest and need for intelligent agents? Users of the Web are faced with information overload; the amount of data available doubles annually. Individuals can analyze only about 5% of the data and most efforts do not provide real meaning. Thus, the need for intelligent agents is ...
hierarchical intelligent simulation
... Explanation is a key concept for knowledge-based systems. It can be expressed as proof in a deductive system, whose axioms are the equations constraining component models and input signals, theorems are simulation results, inference rules represent logic and domain-specific calculus. Using construct ...
... Explanation is a key concept for knowledge-based systems. It can be expressed as proof in a deductive system, whose axioms are the equations constraining component models and input signals, theorems are simulation results, inference rules represent logic and domain-specific calculus. Using construct ...
REASONING ANd dECISION - Université Paul Sabatier
... upon the arrival of new pieces of information. In this case, reasoning becomes non-monotonic and presupposes the truth of anything that is considered normal in the current informational context. This form of reasoning is not amenable to classical logic. It requires logic with embedded priorities, su ...
... upon the arrival of new pieces of information. In this case, reasoning becomes non-monotonic and presupposes the truth of anything that is considered normal in the current informational context. This form of reasoning is not amenable to classical logic. It requires logic with embedded priorities, su ...
Lecture Notes in Computer Science - AIAI
... It is possible to enclose problems in local subteams, instead of spreading them along the entire organisation. We are considering hierarchical organisations arranged into three levels of decision-making: strategic, operational and tactical. However this is not a “must restriction” so that hierarc ...
... It is possible to enclose problems in local subteams, instead of spreading them along the entire organisation. We are considering hierarchical organisations arranged into three levels of decision-making: strategic, operational and tactical. However this is not a “must restriction” so that hierarc ...
