Adapting the Turing Test for Embodied Neurocognitive Evaluation of
... example, suppose a test required the agent produce behavior such that, if its responses were given along with corresponding responses from a set of humans on the same tasks, its data would not be able to be picked out as anomalous. The criterion of verisimilitude might be viewed as somewhat contenti ...
... example, suppose a test required the agent produce behavior such that, if its responses were given along with corresponding responses from a set of humans on the same tasks, its data would not be able to be picked out as anomalous. The criterion of verisimilitude might be viewed as somewhat contenti ...
Economic reasoning and artificial intelligence The Harvard
... The field of artificial intelligence (AI) strives to build rational agents, capable of perceiving the world around them and taking actions to advance specified goals. Put another way, AI researchers aim to construct a synthetic homo economicus, the mythical perfectly rational agent of neoclassical e ...
... The field of artificial intelligence (AI) strives to build rational agents, capable of perceiving the world around them and taking actions to advance specified goals. Put another way, AI researchers aim to construct a synthetic homo economicus, the mythical perfectly rational agent of neoclassical e ...
File
... Cognitive Learning – involves mental process and may involve observation and imitation • Cognitive Map – mental picture of a place ...
... Cognitive Learning – involves mental process and may involve observation and imitation • Cognitive Map – mental picture of a place ...
A Medical Diagnosis System based on MAS Technology and Neural
... success mainly in specific, well-defined fields of expertise. As soon as expert systems are meant to cover broader areas of expertise, they run into serious problems (cf. [Po82]). Multi agent systems (MAS) are much more flexible since each agent is supposed to cover only a very limited but concise a ...
... success mainly in specific, well-defined fields of expertise. As soon as expert systems are meant to cover broader areas of expertise, they run into serious problems (cf. [Po82]). Multi agent systems (MAS) are much more flexible since each agent is supposed to cover only a very limited but concise a ...
Computational Intelligence Approaches for Student/Tutor
... too appear to be pairing well recently, the use of such techniques like machine learning; association rule mining is equally getting stronger in these aspects of student/tutor modeling. The use of agents is one of AI’s long term techniques so it is not surprising to see how a number of models in the ...
... too appear to be pairing well recently, the use of such techniques like machine learning; association rule mining is equally getting stronger in these aspects of student/tutor modeling. The use of agents is one of AI’s long term techniques so it is not surprising to see how a number of models in the ...
A Foundational Architecture for Artificial General Intelligence
... constantly recurring question is “what to do next” (Franklin 1995 Chapter 16). Cognition is the term we will use for this unending succession of deciding “what to do next,” in some sense the only question there is. We humans face that question every moment of our existence, as must our artificial au ...
... constantly recurring question is “what to do next” (Franklin 1995 Chapter 16). Cognition is the term we will use for this unending succession of deciding “what to do next,” in some sense the only question there is. We humans face that question every moment of our existence, as must our artificial au ...
What is AI?
... The Dartmouth workshop in the summer of 1956 (McCarthy, Minsky, Newell, Simon). The term “artificial intelligence” was adopted after a suggestion by McCarthy. Presentation of the Logic Theorist (Newell and Simon). Soon after the workshop, the Logic Theorist program was able to prove most of theorems ...
... The Dartmouth workshop in the summer of 1956 (McCarthy, Minsky, Newell, Simon). The term “artificial intelligence” was adopted after a suggestion by McCarthy. Presentation of the Logic Theorist (Newell and Simon). Soon after the workshop, the Logic Theorist program was able to prove most of theorems ...
Policy Communication for Coordination with Unknown Teammates
... when a state is encountered, and intentional queries, requesting what action the teammate intends to perform at the given state. The former relies on an agent planning for multiple agents within the team as a centralized planner then providing instruction to teammates. As we are primarily interested ...
... when a state is encountered, and intentional queries, requesting what action the teammate intends to perform at the given state. The former relies on an agent planning for multiple agents within the team as a centralized planner then providing instruction to teammates. As we are primarily interested ...
AAAI Proceedings Template - Department of Communication and
... Earlier versions of LIDA’s representations consisted of only nodes and links (Franklin 2005). However, their use is impractical to represent the kind of processed information produced by complex perception. For example, representing a detailed visual image with nodes and links does not appear to be ...
... Earlier versions of LIDA’s representations consisted of only nodes and links (Franklin 2005). However, their use is impractical to represent the kind of processed information produced by complex perception. For example, representing a detailed visual image with nodes and links does not appear to be ...
Endo-System View as a Method for Constructive Science
... and the surrounding environment, either while achieving some task or after its completion. We discussed earlier that thought is part of cognitive processes. This means that the target of verbalization in meta-cognition includes not only thought in mind but also the interactions, e.g. perception and ...
... and the surrounding environment, either while achieving some task or after its completion. We discussed earlier that thought is part of cognitive processes. This means that the target of verbalization in meta-cognition includes not only thought in mind but also the interactions, e.g. perception and ...
Why do anything? Abstract
... between them (as in for example a plausible dimension of affect that includes pain, distress, sorrow, torment, grief etc.) is not possible here. These states differ broadly in their situational context, their duration and their possible effects. A complete theory of affect should be able to provide ...
... between them (as in for example a plausible dimension of affect that includes pain, distress, sorrow, torment, grief etc.) is not possible here. These states differ broadly in their situational context, their duration and their possible effects. A complete theory of affect should be able to provide ...
A client-server computational tool for integrated artificial intelligence
... test their own versions of these algorithms. We have developed a package of assignments with solutions that allow students to learn about a variety of AI techniques in the context of the Wumpus World simulator. Each project builds on the foundation of the tool and enhances the student's previous add ...
... test their own versions of these algorithms. We have developed a package of assignments with solutions that allow students to learn about a variety of AI techniques in the context of the Wumpus World simulator. Each project builds on the foundation of the tool and enhances the student's previous add ...
Memento`s Revenge: The Extended Mind
... These are the kinds of question addressed at length in the paper (coauthored with David Chalmers) ‘The Extended Mind’. Is the mind contained (always? sometimes? never?) in the head? Or does the notion of thought allow mental processes (including believings) to inhere in extended systems of body, br ...
... These are the kinds of question addressed at length in the paper (coauthored with David Chalmers) ‘The Extended Mind’. Is the mind contained (always? sometimes? never?) in the head? Or does the notion of thought allow mental processes (including believings) to inhere in extended systems of body, br ...
Learning Unknown Event Models. In Proceedings of the Twenty
... 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 and goal-based explanation to achieve understanding goals. Weber, Mateas, and Jhala’s (2012) GDA agent learns expla ...
... 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 and goal-based explanation to achieve understanding goals. Weber, Mateas, and Jhala’s (2012) GDA agent learns expla ...
Artificial life: organization, adaptation and complexity
... John Conway’s famous cellular automaton known as the ‘Game of Life’ produces many levels of emergent organization, but it is not robust; changing the state of even one micro-level element often destroys the whole hierarchical organization [12]. Living dynamical hierarchies, by contrast, are quite ro ...
... John Conway’s famous cellular automaton known as the ‘Game of Life’ produces many levels of emergent organization, but it is not robust; changing the state of even one micro-level element often destroys the whole hierarchical organization [12]. Living dynamical hierarchies, by contrast, are quite ro ...
Artificial life - The University of Texas at Dallas
... John Conway’s famous cellular automaton known as the ‘Game of Life’ produces many levels of emergent organization, but it is not robust; changing the state of even one micro-level element often destroys the whole hierarchical organization [12]. Living dynamical hierarchies, by contrast, are quite ro ...
... John Conway’s famous cellular automaton known as the ‘Game of Life’ produces many levels of emergent organization, but it is not robust; changing the state of even one micro-level element often destroys the whole hierarchical organization [12]. Living dynamical hierarchies, by contrast, are quite ro ...
MLECOG - Motivated Learning Embodied Cognitive Architecture
... CAMAL makes its decisions via a control language that is grounded in the theory of affect, which Davis argues subsumes emotion. While similar in how it handles motivations, MLECOG, does not rely on a control language or motivational blackboard, but instead upon the interplay generated by semantic me ...
... CAMAL makes its decisions via a control language that is grounded in the theory of affect, which Davis argues subsumes emotion. While similar in how it handles motivations, MLECOG, does not rely on a control language or motivational blackboard, but instead upon the interplay generated by semantic me ...
MEDICAL DIAGNOSIS BY INTERACTING NEURAL AGENTS
... Agents are categorized in various ways. A good overview is provided in [13]. For our purpose, two types are of utmost importance, namely deliberative and reactive agents. A deliberative agent contains an explicitly represented symbolic model of the real world. Its decisions are made by logical reaso ...
... Agents are categorized in various ways. A good overview is provided in [13]. For our purpose, two types are of utmost importance, namely deliberative and reactive agents. A deliberative agent contains an explicitly represented symbolic model of the real world. Its decisions are made by logical reaso ...
Multi-Agent System
... Multi-agent systems can manifest self-organization and complex behaviors even when the individual strategies of all their agents are simple. Agents can share knowledge using any agreed language, within the constraints of the system's communication protocol. Example languages are Knowledge Query Mani ...
... Multi-agent systems can manifest self-organization and complex behaviors even when the individual strategies of all their agents are simple. Agents can share knowledge using any agreed language, within the constraints of the system's communication protocol. Example languages are Knowledge Query Mani ...
Mapping Between Agent Architectures and Brain Organization
... Fig. 1. This chapter addresses the goal of advancing artificial neural networks (ANN) through understanding neuroscience (BNN) via a third field, complete autonomous agents (CAA). This assistance comes both directly, by providing understanding and support for the requirements of such artificial syst ...
... Fig. 1. This chapter addresses the goal of advancing artificial neural networks (ANN) through understanding neuroscience (BNN) via a third field, complete autonomous agents (CAA). This assistance comes both directly, by providing understanding and support for the requirements of such artificial syst ...
... completion status of tasks performed by a human without having the human provide this information. Other presentations showed additional benefits and best practices, such as (1) fielding is a good way to evaluate an AI technique; (2) in attempting to solve a real-world problem other areas to apply A ...
Modeling Neuromodulation as a Framework to Integrate - HAL
... Machine Learning [30]. In short, this problem originates from the fact that we would like at the same time to have a learning system able to adapt to any change (plastic) and preserving its past experience and not deleting it, in case any exception occurs (stable). A related dilemma is that of explo ...
... Machine Learning [30]. In short, this problem originates from the fact that we would like at the same time to have a learning system able to adapt to any change (plastic) and preserving its past experience and not deleting it, in case any exception occurs (stable). A related dilemma is that of explo ...
A NEW REAL TIME LEARNING ALGORITHM 1. Introduction One
... Since LRTA* never overestimates [7], it learns the optimal solution through repeated trials. In this case, the values learned by LRTA* will eventually converge to their actual distances along every optimal path to the goal node. 4. A Real-Time Learning Algorithm (RTL) In fact, the behavior of the ag ...
... Since LRTA* never overestimates [7], it learns the optimal solution through repeated trials. In this case, the values learned by LRTA* will eventually converge to their actual distances along every optimal path to the goal node. 4. A Real-Time Learning Algorithm (RTL) In fact, the behavior of the ag ...
The Emergence of Contentful Experience
... depend on external support to maintain that stability. A chemical bath, for example, may be maintained in some far-from-equilibrium condition by pumping various solutions into it, and the maintenance of this activity, in turn, depends on the pumps continuing to work and receive power, and the reserv ...
... depend on external support to maintain that stability. A chemical bath, for example, may be maintained in some far-from-equilibrium condition by pumping various solutions into it, and the maintenance of this activity, in turn, depends on the pumps continuing to work and receive power, and the reserv ...