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Towards Conscious-like Behavior in Computer Game Characters
Towards Conscious-like Behavior in Computer Game Characters

... associated Artificial Intelligence (AI) techniques, are based on partial aspects of the real complex systems involved in the generation of human-like behavior. Emotions, planning, learning, user modeling, set shifting, and attention mechanisms are some remarkable examples of features typically consi ...
A MULTI-AGENT SYSTEM WITH APPLICATION IN PROJECT
A MULTI-AGENT SYSTEM WITH APPLICATION IN PROJECT

... behavior is influenced by perception and influences beliefs. Knowledge Base, as long term memory for all agents becomes a necessity to be added as long as project planning and scheduling process as repetitive activity for a project manager and therefore dependent to human experience and knowledge. F ...
Cognitive Decathlon
Cognitive Decathlon

... 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 ...
On Agents and Grids: Creating the Fabric for a New Generation of
On Agents and Grids: Creating the Fabric for a New Generation of

... challenging when heterogeneous collections of components need to be coordinated in a highly dynamic non-centralized execution environment. These are the environments that grids were designed to address. Reliability, quality of service, and robustness have been central themes in grid research as esse ...
pdf file
pdf file

... of depression in maintaining their well-being throughout their lifetime. In this paper, the design of an ambient intelligent agent to support these individuals is presented. It incorporates an analysis and support model for diagnostics based on observed features and for suggested actions. The model ...
Survey and Evaluation of Agent Oriented Software Engineering
Survey and Evaluation of Agent Oriented Software Engineering

... theirs modeling techniques, actually , a numerous criteria for evaluating the quality of modeling techniques of a generic Software Engineering has been published. In this article the selection of criteria of software engineering methodologies and modeling techniques concentrates on specification sho ...
Artificial Intelligence and Artificial Consciousness: Continuum or
Artificial Intelligence and Artificial Consciousness: Continuum or

... Intrinsic moral worth (IMW) • Another possible source of discontinuity between cognitive and phenomenological? • Perhaps any genuine AC would have to be considered as having its own intrinsic experiential point of view, and hence an intrinsic moral worth; • i.e. it would deserve consideration for i ...
Does the explanation account for a substantial quantity of behavior?
Does the explanation account for a substantial quantity of behavior?

... world and establish representations of objects ...
Part 2 - Simon Fraser University
Part 2 - Simon Fraser University

... 1. If detect an obstacle then change direction 2. If carrying samples and at the base then drop samples 3. If carrying samples and not at the base then drop 2 crumbs and follow the radio signal 4. If detect a sample then pick sample up 5. If sense crumbs then pick up 1 crumb and travel down ...
Partially observable Markov decision processes for
Partially observable Markov decision processes for

... Figure 2. The POMDP model. Arrows indicate probabilistic influence. The parameter S is a set containing the discrete states in which the environment can exist. In the TIS, the state of the environment is a representation of the key in which the musician is playing. There are 25 states, one for each ...
Rational Artificial Intelligence for the Greater Good - Self
Rational Artificial Intelligence for the Greater Good - Self

... by an environment and a utility function as the smallest amount of computational resources needed to take fully rational actions. Constant Action Systems. If computation is severely restricted (or very costly), then a system cannot afford to do any reasoning at all and must take a constant action in ...
Reinforcement Learning and the Reward
Reinforcement Learning and the Reward

... Introduction ...
Economic reasoning and artificial intelligence
Economic reasoning and artificial intelligence

... well-developed mathematical theory of mechanism design (33). The framework of mechanism design has been fruitfully applied, for example, to the design of matching markets (34) and auctions (35). Mechanism desi ...
Economic reasoning and artificial intelligence
Economic reasoning and artificial intelligence

... well-developed mathematical theory of mechanism design (33). The framework of mechanism design has been fruitfully applied, for example, to the design of matching markets (34) and auctions (35). Mechanism de ...
A Belief-Desire-Intention Model for Narrative Generation
A Belief-Desire-Intention Model for Narrative Generation

... wants to get some food, go to where the food is and wait for the target character to come by. Then chase them down. If an agent wants to chase some target character: if the target is safe, give up; if the target is right next to the agent, pick them up; if the target is elseswhere, follow them. If a ...
two per page - University of Waterloo
two per page - University of Waterloo

... associate with human thinking, such as decision making, problem solving, learning [Bellman 78] The art of creating machines that perform functions that require intelligence when performed by a human [Kurzweil 90] The study of how to make computers do things at which, at the moment, people are better ...
pdf file
pdf file

... the function to prepare for a certain action or body change, but are also activated upon observing somebody else who is performing this action or body change; e.g., [34], [45], [51]. Internal simulation is internal mental processing that copies processes that may take place in externally, for exampl ...
Herbert A. Simon - History Committee archive
Herbert A. Simon - History Committee archive

... over a wide range of the perceptual, learning, and concept induction tasks that have been studied in the psychological laboratory, thereby constituting a theory of unmatched generality in this domain. Among the important phenomena implemented by EPAM's discrimination (sorting) mechanisms is learning ...
- ePrints Soton
- ePrints Soton

... directed at making it easier and cheaper to engineer increasingly complex software systems. Despite significant progress, software engineering’s fundamental problems, articulated most famously by Fred Brooks in his 1976 book The Mythical Man-Month, remain as true today as then. Elsewhere we have arg ...
Agents
Agents

... is expected to maximize its performance measure, given the evidence provided by the percept sequence and whatever builtin knowledge the agent has. • Notice the rationality is dependent on EXPECTED maximization. • Agent might need to learn how the environment changes, what action sequences to put tog ...
Influence-based Abstraction for Multiagent Systems
Influence-based Abstraction for Multiagent Systems

... number of these approaches by presenting influence-based abstraction for factored POSGs (IBA) and showing how it generalizes the abstractions performed by those approaches. The general idea of IBA is as follows. A standard way for agent i to compute a best response to the policy πj of another agent ...
PDF handout of power point slides
PDF handout of power point slides

... Can refer to – the state of the environment ((chess has finite number of discrete states) – the way time is handled (taxi driving continuous – speed and location of taxi sweep through range of continuous values) – percepts and actions (taxi driving continuous ...
Formalisms for Multi-Agent Systems
Formalisms for Multi-Agent Systems

... in the work of Konolige on formalisms for modelling belief, and logic as a programming language is evidenced in the work of Fisher on Concurrent M ETATE M. All of these strands of work can claim some measure of success. However, a common failing of formal work (both in AI and multi-agent systems) is ...
Intelligent agent - Personal Web Pages
Intelligent agent - Personal Web Pages

... inhabit some complex dynamic environment, sense and act autonomously in this environment, and by doing so realize a set of goals or tasks for which they are designed”. ...
Negotiation joint plans/schedules for agents Worth
Negotiation joint plans/schedules for agents Worth

... • The Zeuthen strategy is in Nash equilibrium: under the assumption that one agent is using the strategy the other can do no better than use it himself… • This is of particular interest to the designer of automated agents. It does away with any need for secrecy on the part of the programmer. An agen ...
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Cognitive model

A cognitive model is an approximation to animal cognitive processes (predominantly human) for the purposes of comprehension and prediction. Cognitive models can be developed within or without a cognitive architecture, though the two are not always easily distinguishable.In contrast to cognitive architectures, cognitive models tend to be focused on a single cognitive phenomenon or process (e.g., list learning), how two or more processes interact (e.g., visual search and decision making), or to make behavioral predictions for a specific task or tool (e.g., how instituting a new software package will affect productivity). Cognitive architectures tend to be focused on the structural properties of the modeled system, and help constrain the development of cognitive models within the architecture. Likewise, model development helps to inform limitations and shortcomings of the architecture. Some of the most popular architectures for cognitive modeling include ACT-R and Soar.
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