programme summary - Department of Informatics
... Tutors: Matthijs Spaan and Frans Oliehoek Decision making is an important skill of autonomous agents. This tutorial focuses on decision making under uncertainty in sensing and acting, common in many real-world systems. In particular, we will be concerned with planning problems that optimize how an a ...
... Tutors: Matthijs Spaan and Frans Oliehoek Decision making is an important skill of autonomous agents. This tutorial focuses on decision making under uncertainty in sensing and acting, common in many real-world systems. In particular, we will be concerned with planning problems that optimize how an a ...
Module 24: Operant Conditioning, Summary Notes
... show that the organism will lose intrinsic interest and rely on rewards for they behavior. I.e.. Being paid to play your favorite sport will eventually cause you to be less interested in the sport for its own sake and more interested in your next raise. ...
... show that the organism will lose intrinsic interest and rely on rewards for they behavior. I.e.. Being paid to play your favorite sport will eventually cause you to be less interested in the sport for its own sake and more interested in your next raise. ...
Embodied Autonomy in Digital Ecosystems: From Bio-inspired Agents to Cognitive Systems
... Organisation formation and management is a challenge. Virtual Organisations (VOs) have been identified as the means to release the power of the Grid, but well-defined procedures for determining when to form new VOs, how to manage them, and ultimately how and when to disband them, are still missing. ...
... Organisation formation and management is a challenge. Virtual Organisations (VOs) have been identified as the means to release the power of the Grid, but well-defined procedures for determining when to form new VOs, how to manage them, and ultimately how and when to disband them, are still missing. ...
A Future for Agent Programming
... specified in terms of beliefs, goals, and plans. Beliefs represent the agent’s information about the environment (and itself). Goals represent desired states of the environment the agent is trying to bring about. Plans are the means by which the agent can modify the environment in order to achieve i ...
... specified in terms of beliefs, goals, and plans. Beliefs represent the agent’s information about the environment (and itself). Goals represent desired states of the environment the agent is trying to bring about. Plans are the means by which the agent can modify the environment in order to achieve i ...
Intelligent Agent in Education
... • Agent as Expert Experts exhibit mastery or extensive knowledge and perform better than the average within a domain. • Agent as Motivator The Motivator suggests his own ideas, verbally encourages and stimulates the learners. • Agent as Mentor An ideal human instructor provides guidance for the lear ...
... • Agent as Expert Experts exhibit mastery or extensive knowledge and perform better than the average within a domain. • Agent as Motivator The Motivator suggests his own ideas, verbally encourages and stimulates the learners. • Agent as Mentor An ideal human instructor provides guidance for the lear ...
Creativity in Configuring Affective Agents for Interactive Storytelling
... competent agents are valuable if they can be configured to act ‘in character’ during episodes that are not directly controlled by a story-based framework or if the system explicitly ...
... competent agents are valuable if they can be configured to act ‘in character’ during episodes that are not directly controlled by a story-based framework or if the system explicitly ...
Relevance, Realism and Rigour:
... If there is a theoretical basis for this view, it is general equilibrium theory. In the most general versions of the theory, all transactions are agreed at the start of time. Each transaction is contingent on a set of events pertaining at the time the transaction is to be completed. For example, an ...
... If there is a theoretical basis for this view, it is general equilibrium theory. In the most general versions of the theory, all transactions are agreed at the start of time. Each transaction is contingent on a set of events pertaining at the time the transaction is to be completed. For example, an ...
On-line Error Analysis Using AI techniques A first sight
... Some researchers in fuzzy logic have explored the use of other interpretations of the AND and OR operations, but the definition for the NOT operation seems to be safe. If you plug just the values 0 and 1 into these definitions, you get the same truth tables as you would expect from conventional Bool ...
... Some researchers in fuzzy logic have explored the use of other interpretations of the AND and OR operations, but the definition for the NOT operation seems to be safe. If you plug just the values 0 and 1 into these definitions, you get the same truth tables as you would expect from conventional Bool ...
People, Places and Things: Leveraging Insights from Distributed
... developed by (Wright, Fields, & Harrison, 2000), and in Walenstein’s analytic RODS framework (2002). Extensions of Dcog (Perry, 1999; Walenstein, 2002; Wright, Fields, & Harrison, 2000) were not applied to our research, but are examples of how Dcog can be used as a framework that leads to practical ...
... developed by (Wright, Fields, & Harrison, 2000), and in Walenstein’s analytic RODS framework (2002). Extensions of Dcog (Perry, 1999; Walenstein, 2002; Wright, Fields, & Harrison, 2000) were not applied to our research, but are examples of how Dcog can be used as a framework that leads to practical ...
Concepts of Object- and Agent-Oriented Simulation
... According to Hanks and his colleagues [25], deliberation is a matter of predicting the future state of the world. Decision and activities are grounded on an agent's explicit knowledge about the characteristics and the causal forces of the world around it. The creation of plans based on and directed ...
... According to Hanks and his colleagues [25], deliberation is a matter of predicting the future state of the world. Decision and activities are grounded on an agent's explicit knowledge about the characteristics and the causal forces of the world around it. The creation of plans based on and directed ...
Agent-Based Software Engineering
... viewing agents as intentional systems [10], whose behaviour can be predicted and explained in terms of attitudes such as belief, desire, and intention [47]. The rationale for this approach is that in everyday life, we use a folk psychology to explain and predict the behaviour of complex intelligent ...
... viewing agents as intentional systems [10], whose behaviour can be predicted and explained in terms of attitudes such as belief, desire, and intention [47]. The rationale for this approach is that in everyday life, we use a folk psychology to explain and predict the behaviour of complex intelligent ...
U Eyewitness Testimony
... phases. At first the interviewer asks the witness to recount the event in as much detail as possible. Although a record is made of the account, the interviewer uses this phase to plan for the more detailed interview to follow. The interviewer seeks to understand the way in which the witness stores a ...
... phases. At first the interviewer asks the witness to recount the event in as much detail as possible. Although a record is made of the account, the interviewer uses this phase to plan for the more detailed interview to follow. The interviewer seeks to understand the way in which the witness stores a ...
Introduction to Multi-Agent Systems
... For example, if the agent is able to learn from examples or if its internal representation is knowledge-based, we should see it as an intelligent agent. If the agent has an explicit goal to pursue and it uses heuristics to select the best operations necessary to achieve its goal, it then shares one ...
... For example, if the agent is able to learn from examples or if its internal representation is knowledge-based, we should see it as an intelligent agent. If the agent has an explicit goal to pursue and it uses heuristics to select the best operations necessary to achieve its goal, it then shares one ...
Bilgisayar Destekli Takdimler - Bilkent University Computer
... – User Controlled Entities: One of the aircrafts may be controlled by the user. – Automated entities: A group of opposing aircrafts – Behavior: Two groups of aircrafts are given a mission path that are intersecting each other. When they come close two each other they will attack each other until one ...
... – User Controlled Entities: One of the aircrafts may be controlled by the user. – Automated entities: A group of opposing aircrafts – Behavior: Two groups of aircrafts are given a mission path that are intersecting each other. When they come close two each other they will attack each other until one ...
Lecture Notes in Computer Science
... any type of modular intelligence where multiple, specialised, semi-independent, individually mindless agents contribute to a single, whole intelligence which emerges through their individual expression and collective competition and cooperation. Agents in such societies employ heterogeneous algorith ...
... any type of modular intelligence where multiple, specialised, semi-independent, individually mindless agents contribute to a single, whole intelligence which emerges through their individual expression and collective competition and cooperation. Agents in such societies employ heterogeneous algorith ...
AI AND MACHINE LEARNING TECHNIQUES FOR MANAGING
... A learning agent (Fig. 1) can be outlined as one having several modules: first, it is the acting module, which takes percepts both of the external world and its own state and selects the external actions of the agent. The learning module improves the actions of the acting module. The learning proces ...
... A learning agent (Fig. 1) can be outlined as one having several modules: first, it is the acting module, which takes percepts both of the external world and its own state and selects the external actions of the agent. The learning module improves the actions of the acting module. The learning proces ...
Artificial Intelligence and Decision Systems Course notes
... or not without a shadow of doubt. Rather, the best we can do is to characterize intelligence as a set of capabilities or skills that intelligent beings possess. These capabilities include problem-solving, reasoning, decision-making, learning, memory, language, and emotions. This is not an exhaustive ...
... or not without a shadow of doubt. Rather, the best we can do is to characterize intelligence as a set of capabilities or skills that intelligent beings possess. These capabilities include problem-solving, reasoning, decision-making, learning, memory, language, and emotions. This is not an exhaustive ...
PSY 216 Study Guide Chapter 4 Test #4 According to Kelley, people
... What is the self-fulfilling prophecy and how does it develop/occur? In Tajfel’s research, what did he discover occurred with subjects in the groups they were assigned to with the meaningless labels? How did they interact with others within vs. outside of their assigned group? In Loftus’ study on the ...
... What is the self-fulfilling prophecy and how does it develop/occur? In Tajfel’s research, what did he discover occurred with subjects in the groups they were assigned to with the meaningless labels? How did they interact with others within vs. outside of their assigned group? In Loftus’ study on the ...
Representations and sensorimotor loops in intelligent agents
... evident capability of this insect to be independent from external stimulations and local cues in order to perform his own feeding-related behaviours. These results can be interpreted as the suitability and the importance of cognitive psychology and Artificial Intelligence conceptual apparatus in ex ...
... evident capability of this insect to be independent from external stimulations and local cues in order to perform his own feeding-related behaviours. These results can be interpreted as the suitability and the importance of cognitive psychology and Artificial Intelligence conceptual apparatus in ex ...
Creativity, Cognitive Mechanisms, and Logic
... in the case of IBM’s Watson, probably the most advanced massive knowledgebased system that exists so far, most people would not ascribe general creative abilities to it. At most certain particular solutions of the system seem to be creative, because they are extremely hard to achieve for humans. Thi ...
... in the case of IBM’s Watson, probably the most advanced massive knowledgebased system that exists so far, most people would not ascribe general creative abilities to it. At most certain particular solutions of the system seem to be creative, because they are extremely hard to achieve for humans. Thi ...
Forming Impressions (3-1)
... b. We tend to see ____________ members as being more similar to each other than they really are c. Heightens visibility of ______________ members when only a few of them are in a large group i. ________________ members are viewed as more distinct, seen as having more influence ii. Distinctiveness ma ...
... b. We tend to see ____________ members as being more similar to each other than they really are c. Heightens visibility of ______________ members when only a few of them are in a large group i. ________________ members are viewed as more distinct, seen as having more influence ii. Distinctiveness ma ...
PDF file
... Not until the 1980’s had the importance of embodiment received sufficient recognition in the AI community. The behavior-based approach, popularized by Rodney Brooks [3] and others [4][5], put situated embodiment back to the AI stage as it deserves. However, the mind and its autonomous development, d ...
... Not until the 1980’s had the importance of embodiment received sufficient recognition in the AI community. The behavior-based approach, popularized by Rodney Brooks [3] and others [4][5], put situated embodiment back to the AI stage as it deserves. However, the mind and its autonomous development, d ...
Logic in Cognitive Science: Bridging the Gap between Symbolic and
... Turing computation (see e.g. Cooper, 2003, or his paper in this volume for more details). If the Church-Turing thesis is correct, then all computations performed by the human brain could, in theory, be reproduced on any device equivalent to a Turing machine, e.g. a modern computer (modulo sufficient ...
... Turing computation (see e.g. Cooper, 2003, or his paper in this volume for more details). If the Church-Turing thesis is correct, then all computations performed by the human brain could, in theory, be reproduced on any device equivalent to a Turing machine, e.g. a modern computer (modulo sufficient ...
intelligent robots: the question of embodiment
... intelligence [5] [24]. Brooks advocates the behaviourist approach to combat the difficulty in developing purely internal symbolic representational models of reality utilised in classical AI approaches. Lakoff et al. argue that our ability to understand and reason abstractly relies heavily on our bod ...
... intelligence [5] [24]. Brooks advocates the behaviourist approach to combat the difficulty in developing purely internal symbolic representational models of reality utilised in classical AI approaches. Lakoff et al. argue that our ability to understand and reason abstractly relies heavily on our bod ...
The SCHOLAR Legacy: A New Look at the Affordances of Semantic
... The domain model represents what the learner is supposed to learn. Following tradition in psychology [e.g., Anderson, 1976; Haapasalo, 2003; Ryle, 1949; Skemp, 1979] we can accept a distinction between conceptual (or declarative) knowledge and procedural (or imperative) knowledge, i.e., the distinct ...
... The domain model represents what the learner is supposed to learn. Following tradition in psychology [e.g., Anderson, 1976; Haapasalo, 2003; Ryle, 1949; Skemp, 1979] we can accept a distinction between conceptual (or declarative) knowledge and procedural (or imperative) knowledge, i.e., the distinct ...